def plot_fan_stereographically(rays, walls, northsign=1, north=vector((-1,-1,-1)), right=vector((1,0,0)), colors=None, thickness=None):
from sage.plot.graphics import Graphics
from sage.plot.point import point
from sage.misc.flatten import flatten
from sage.plot.line import line
from sage.misc.functional import norm
if colors == None:
colors = dict([('walls','black'),('rays','red')])
if thickness == None:
thickness = dict([('walls',0.5),('rays',20)])
G = Graphics()
for (u,v) in walls:
G += _stereo_arc(vector(u),vector(v),vector(u+v),north=northsign*north,right=right,color=colors['walls'],thickness=thickness['walls'],zorder=len(G))
for v in rays:
G += point(_stereo_coordinates(vector(v),north=northsign*north,right=right),color=colors['rays'],zorder=len(G),size=thickness['rays'])
G.set_aspect_ratio(1)
G._show_axes = False
return G
def plot2d(self, depth=None):
# FIXME: refactor this before publishing
from sage.plot.line import line
from sage.plot.graphics import Graphics
if self._n != 2:
raise ValueError("Can only 2d plot fans.")
if depth == None:
depth = self._depth
if not self.is_finite() and depth == infinity:
raise ValueError(
"For infinite algebras you must specify the depth.")
colors = dict([(0, 'red'), (1, 'green')])
G = Graphics()
for i in range(2):
orbit = self.ith_orbit(i, depth=depth)
for j in orbit:
G += line([(0, 0), vector(orbit[j])],
color=colors[i],
thickness=0.5,
zorder=2 * j + 1)
G.set_aspect_ratio(1)
G._show_axes = False
return G
def bar_chart(datalist, **options):
"""
A bar chart of (currently) one list of numerical data.
Support for more data lists in progress.
EXAMPLES:
A bar_chart with blue bars::
sage: bar_chart([1,2,3,4])
Graphics object consisting of 1 graphics primitive
A bar_chart with thinner bars::
sage: bar_chart([x^2 for x in range(1,20)], width=0.2)
Graphics object consisting of 1 graphics primitive
A bar_chart with negative values and red bars::
sage: bar_chart([-3,5,-6,11], rgbcolor=(1,0,0))
Graphics object consisting of 1 graphics primitive
A bar chart with a legend (it's possible, not necessarily useful)::
sage: bar_chart([-1,1,-1,1], legend_label='wave')
Graphics object consisting of 1 graphics primitive
Extra options will get passed on to show(), as long as they are valid::
sage: bar_chart([-2,8,-7,3], rgbcolor=(1,0,0), axes=False)
Graphics object consisting of 1 graphics primitive
sage: bar_chart([-2,8,-7,3], rgbcolor=(1,0,0)).show(axes=False) # These are equivalent
"""
dl = len(datalist)
#if dl > 1:
# print "WARNING, currently only 1 data set allowed"
# datalist = datalist[0]
if dl == 3:
datalist = datalist + [0]
#bardata = []
#cnt = 1
#for pnts in datalist:
#ind = [i+cnt/dl for i in range(len(pnts))]
#bardata.append([ind, pnts, xrange, yrange])
#cnt += 1
g = Graphics()
g._set_extra_kwds(Graphics._extract_kwds_for_show(options))
#TODO: improve below for multiple data sets!
#cnt = 1
#for ind, pnts, xrange, yrange in bardata:
#options={'rgbcolor':hue(cnt/dl),'width':0.5/dl}
# g._bar_chart(ind, pnts, xrange, yrange, options=options)
# cnt += 1
#else:
ind = list(range(len(datalist)))
g.add_primitive(BarChart(ind, datalist, options=options))
if options['legend_label']:
g.legend(True)
return g
def legend_3d(hyperplane_arrangement, hyperplane_colors, length):
r"""
Create plot of a 3d legend for an arrangement of planes in 3-space. The
``length`` parameter determines whether short or long labels are used in
the legend.
INPUT:
- ``hyperplane_arrangement`` -- a hyperplane arrangement
- ``hyperplane_colors`` -- list of colors
- ``length`` -- either ``'short'`` or ``'long'``
OUTPUT:
- A graphics object.
EXAMPLES::
sage: a = hyperplane_arrangements.semiorder(3)
sage: from sage.geometry.hyperplane_arrangement.plot import legend_3d
sage: legend_3d(a, list(colors.values())[:6],length='long')
Graphics object consisting of 6 graphics primitives
sage: b = hyperplane_arrangements.semiorder(4)
sage: c = b.essentialization()
sage: legend_3d(c, list(colors.values())[:12], length='long')
Graphics object consisting of 12 graphics primitives
sage: legend_3d(c, list(colors.values())[:12], length='short')
Graphics object consisting of 12 graphics primitives
sage: p = legend_3d(c, list(colors.values())[:12], length='short')
sage: p.set_legend_options(ncol=4)
sage: type(p)
<class 'sage.plot.graphics.Graphics'>
"""
if hyperplane_arrangement.dimension() != 3:
raise ValueError('arrangements must be in 3-space')
hyps = hyperplane_arrangement.hyperplanes()
N = len(hyperplane_arrangement)
if length == 'short':
labels = [' ' + str(i) for i in range(N)]
else:
labels = [' ' + hyps[i]._repr_linear(include_zero=False) for i in
range(N)]
p = Graphics()
for i in range(N):
p += line([(0,0),(0,0)], color=hyperplane_colors[i], thickness=8,
legend_label=labels[i], axes=False)
p.set_legend_options(title='Hyperplanes', loc='center', labelspacing=0.4,
fancybox=True, font_size='x-large', ncol=2)
p.legend(True)
return p
def bezier_path(self):
"""
Return ``self`` as a Bezier path.
This is needed to concatenate arcs, in order to
create hyperbolic polygons.
EXAMPLES::
sage: from sage.plot.arc import Arc
sage: op = {'alpha':1,'thickness':1,'rgbcolor':'blue','zorder':0,
....: 'linestyle':'--'}
sage: Arc(2,3,2.2,2.2,0,2,3,op).bezier_path()
Graphics object consisting of 1 graphics primitive
sage: a = arc((0,0),2,1,0,(pi/5,pi/2+pi/12), linestyle="--", color="red")
sage: b = a[0].bezier_path()
sage: b[0]
Bezier path from (1.133..., 0.8237...) to (-0.2655..., 0.9911...)
"""
from sage.plot.bezier_path import BezierPath
from sage.plot.graphics import Graphics
from matplotlib.path import Path
import numpy as np
ma = self._matplotlib_arc()
def theta_stretch(theta, scale):
theta = np.deg2rad(theta)
x = np.cos(theta)
y = np.sin(theta)
return np.rad2deg(np.arctan2(scale * y, x))
theta1 = theta_stretch(ma.theta1, ma.width / ma.height)
theta2 = theta_stretch(ma.theta2, ma.width / ma.height)
pa = ma
pa._path = Path.arc(theta1, theta2)
transform = pa.get_transform().get_matrix()
cA, cC, cE = transform[0]
cB, cD, cF = transform[1]
points = []
for u in pa._path.vertices:
x, y = list(u)
points += [(cA * x + cC * y + cE, cB * x + cD * y + cF)]
cutlist = [points[0:4]]
N = 4
while N < len(points):
cutlist += [points[N:N + 3]]
N += 3
g = Graphics()
opt = self.options()
opt['fill'] = False
g.add_primitive(BezierPath(cutlist, opt))
return g
def bezier_path(self):
"""
Return ``self`` as a Bezier path.
This is needed to concatenate arcs, in order to
create hyperbolic polygons.
EXAMPLES::
sage: from sage.plot.arc import Arc
sage: op = {'alpha':1,'thickness':1,'rgbcolor':'blue','zorder':0,
....: 'linestyle':'--'}
sage: Arc(2,3,2.2,2.2,0,2,3,op).bezier_path()
Graphics object consisting of 1 graphics primitive
sage: a = arc((0,0),2,1,0,(pi/5,pi/2+pi/12), linestyle="--", color="red")
sage: b = a[0].bezier_path()
sage: b[0]
Bezier path from (1.133..., 0.8237...) to (-0.2655..., 0.9911...)
"""
from sage.plot.bezier_path import BezierPath
from sage.plot.graphics import Graphics
from matplotlib.path import Path
import numpy as np
ma = self._matplotlib_arc()
def theta_stretch(theta, scale):
theta = np.deg2rad(theta)
x = np.cos(theta)
y = np.sin(theta)
return np.rad2deg(np.arctan2(scale * y, x))
theta1 = theta_stretch(ma.theta1, ma.width / ma.height)
theta2 = theta_stretch(ma.theta2, ma.width / ma.height)
pa = ma
pa._path = Path.arc(theta1, theta2)
transform = pa.get_transform().get_matrix()
cA, cC, cE = transform[0]
cB, cD, cF = transform[1]
points = []
for u in pa._path.vertices:
x, y = list(u)
points += [(cA * x + cC * y + cE, cB * x + cD * y + cF)]
cutlist = [points[0: 4]]
N = 4
while N < len(points):
cutlist += [points[N: N + 3]]
N += 3
g = Graphics()
opt = self.options()
opt['fill'] = False
g.add_primitive(BezierPath(cutlist, opt))
return g
def plot3d(self, depth=None):
# FIXME: refactor this before publishing
from sage.plot.graphics import Graphics
from sage.plot.point import point
from sage.misc.flatten import flatten
from sage.plot.plot3d.shapes2 import sphere
if self._n != 3:
raise ValueError("Can only 3d plot fans.")
if depth == None:
depth = self._depth
if not self.is_finite() and depth == infinity:
raise ValueError(
"For infinite algebras you must specify the depth.")
colors = dict([(0, 'red'), (1, 'green'), (2, 'blue'), (3, 'cyan')])
G = Graphics()
roots = self.d_vectors(depth=depth)
compatible = []
while roots:
x = roots.pop()
for y in roots:
if self.compatibility_degree(x, y) == 0:
compatible.append((x, y))
for (u, v) in compatible:
G += _arc3d((_normalize(vector(u)), _normalize(vector(v))),
thickness=0.5,
color='black')
for i in range(3):
orbit = self.ith_orbit(i, depth=depth)
for j in orbit:
G += point(_normalize(vector(orbit[j])),
color=colors[i],
size=10,
zorder=len(G.all))
if self.is_affine():
tube_vectors = map(vector, flatten(self.affine_tubes()))
tube_vectors = map(_normalize, tube_vectors)
for v in tube_vectors:
G += point(v, color=colors[3], size=10, zorder=len(G.all))
G += _arc3d((tube_vectors[0], tube_vectors[1]),
thickness=5,
color='gray',
zorder=0)
G += sphere((0, 0, 0), opacity=0.1, zorder=0)
G._extra_kwds['frame'] = False
G._extra_kwds['aspect_ratio'] = 1
return G
def bar_chart(datalist, **options):
"""
A bar chart of (currently) one list of numerical data.
Support for more data lists in progress.
EXAMPLES:
A bar_chart with blue bars::
sage: bar_chart([1,2,3,4])
Graphics object consisting of 1 graphics primitive
A bar_chart with thinner bars::
sage: bar_chart([x^2 for x in range(1,20)], width=0.2)
Graphics object consisting of 1 graphics primitive
A bar_chart with negative values and red bars::
sage: bar_chart([-3,5,-6,11], rgbcolor=(1,0,0))
Graphics object consisting of 1 graphics primitive
A bar chart with a legend (it's possible, not necessarily useful)::
sage: bar_chart([-1,1,-1,1], legend_label='wave')
Graphics object consisting of 1 graphics primitive
Extra options will get passed on to show(), as long as they are valid::
sage: bar_chart([-2,8,-7,3], rgbcolor=(1,0,0), axes=False)
Graphics object consisting of 1 graphics primitive
sage: bar_chart([-2,8,-7,3], rgbcolor=(1,0,0)).show(axes=False) # These are equivalent
"""
dl = len(datalist)
#if dl > 1:
# print "WARNING, currently only 1 data set allowed"
# datalist = datalist[0]
if dl == 3:
datalist = datalist+[0]
#bardata = []
#cnt = 1
#for pnts in datalist:
#ind = [i+cnt/dl for i in range(len(pnts))]
#bardata.append([ind, pnts, xrange, yrange])
#cnt += 1
g = Graphics()
g._set_extra_kwds(Graphics._extract_kwds_for_show(options))
#TODO: improve below for multiple data sets!
#cnt = 1
#for ind, pnts, xrange, yrange in bardata:
#options={'rgbcolor':hue(cnt/dl),'width':0.5/dl}
# g._bar_chart(ind, pnts, xrange, yrange, options=options)
# cnt += 1
#else:
ind = list(range(len(datalist)))
g.add_primitive(BarChart(ind, datalist, options=options))
if options['legend_label']:
g.legend(True)
return g
def plot(self, **options):
r"""
Plot this cylinder in coordinates used by a graphical surface. This
plots this cylinder as a union of subpolygons. Only the intersections
with polygons visible in the graphical surface are shown.
Parameters other than `graphical_surface` are passed to `polygon2d`
which is called to render the polygons.
Parameters
----------
graphical_surface : a GraphicalSurface
If not provided or `None`, the plot method uses the default graphical
surface for the surface.
"""
if "graphical_surface" in options and options[
"graphical_surface"] is not None:
gs = options["graphical_surface"]
assert gs.get_surface(
) == self._s, "Graphical surface for the wrong surface."
del options["graphical_surface"]
else:
gs = self._s.graphical_surface()
plt = Graphics()
for l, p in self.polygons():
if gs.is_visible(l):
gp = gs.graphical_polygon(l)
t = gp.transformation()
pp = t(p)
poly = polygon2d(pp.vertices(), **options)
plt += poly.plot()
return plt
def circle_image(A, B):
G = Graphics()
G += circle((0, 0), 1, color='grey')
from collections import defaultdict
tmp = defaultdict(int)
for a in A:
for j in range(a):
if gcd(j, a) == 1:
rational = Rational(j) / Rational(a)
tmp[(rational.numerator(), rational.denominator())] += 1
for b in B:
for j in range(b):
if gcd(j, b) == 1:
rational = Rational(j) / Rational(b)
tmp[(rational.numerator(), rational.denominator())] -= 1
C = ComplexField()
for val in tmp:
if tmp[val] > 0:
G += text(str(tmp[val]),
exp(C(-.2 + 2 * 3.14159 * I * val[0] / val[1])),
fontsize=30,
axes=False,
color="green")
if tmp[val] < 0:
G += text(str(abs(tmp[val])),
exp(C(.2 + 2 * 3.14159 * I * val[0] / val[1])),
fontsize=30,
axes=False,
color="blue")
return G
def plot_error_function(model_filename, N, x0, Tfrac=0.8):
"""
Plot the estimated error of the linearized ODE as a function of time.
INPUT:
- ``model_filename`` -- string containing the model in text format
- ``N`` -- truncation order
- ``x0`` -- initial point, a list
- ``Tfrac`` -- (optional, default: `0.8`): fraction of the convergence radius,
to specify the plotting range in the time axis
NOTE:
This function calls ``error_function`` for the error computations.
"""
from sage.plot.graphics import Graphics
from sage.plot.plot import plot
from sage.plot.line import line
[Ts, eps] = error_function(model_filename, N, x0)
P = Graphics()
P = plot(eps, 0, Ts * Tfrac, axes_labels=["$t$", r"$\mathcal{E}(t)$"])
P += line([[Ts, 0], [Ts, eps(t=Ts * Tfrac)]],
linestyle='dotted',
color='black')
return P
def plot_n_cylinders(self, n, labels=True):
r"""
EXAMPLES::
sage: from slabbe.markov_transformation import markov_transformations
sage: T = markov_transformations.Selmer()
sage: G = T.plot_n_cylinders(3)
TESTS::
sage: G = T.plot_n_cylinders(0)
"""
from sage.plot.graphics import Graphics
from sage.plot.polygon import polygon
from sage.plot.text import text
M3to2 = projection_matrix(3, 2)
G = Graphics()
for w, cyl in self.n_cylinders_iterator(n):
columns = cyl.columns()
G += polygon((M3to2 * col / col.norm(1) for col in columns),
fill=False)
if labels:
sum_cols = sum(columns)
G += text("{}".format(w), M3to2 * sum_cols / sum_cols.norm(1))
return G
def plot(self, **kwargs):
"""
Plot this Newton polygon.
.. NOTE::
All usual rendering options (color, thickness, etc.) are available.
EXAMPLES:
sage: from sage.geometry.newton_polygon import NewtonPolygon
sage: NP = NewtonPolygon([ (0,0), (1,1), (2,6) ])
sage: polygon = NP.plot()
"""
vertices = self.vertices()
if len(vertices) == 0:
from sage.plot.graphics import Graphics
return Graphics()
else:
from sage.plot.line import line
(xstart, ystart) = vertices[0]
(xend, yend) = vertices[-1]
if self.last_slope() is Infinity:
return line([(xstart, ystart+1), (xstart,ystart+0.5)], linestyle="--", **kwargs) \
+ line([(xstart, ystart+0.5)] + vertices + [(xend, yend+0.5)], **kwargs) \
+ line([(xend, yend+0.5), (xend, yend+1)], linestyle="--", **kwargs)
else:
return line([(xstart, ystart+1), (xstart,ystart+0.5)], linestyle="--", **kwargs) \
+ line([(xstart, ystart+0.5)] + vertices + [(xend+0.5, yend + 0.5*self.last_slope())], **kwargs) \
+ line([(xend+0.5, yend + 0.5*self.last_slope()), (xend+1, yend+self.last_slope())], linestyle="--", **kwargs)
def plot_n_matrices_eigenvectors(self, n, side='right', color_index=0, draw_line=False):
r"""
INPUT:
- ``n`` -- integer, length
- ``side`` -- ``'left'`` or ``'right'``, drawing left or right
eigenvectors
- ``color_index`` -- 0 for first letter, -1 for last letter
- ``draw_line`` -- boolean
EXAMPLES::
sage: from slabbe.matrix_cocycle import cocycles
sage: ARP = cocycles.ARP()
sage: G = ARP.plot_n_matrices_eigenvectors(2)
"""
from sage.plot.graphics import Graphics
from sage.plot.point import point
from sage.plot.line import line
from sage.plot.text import text
from sage.plot.colors import hue
from sage.modules.free_module_element import vector
from .matrices import M3to2
R = self.n_matrices_eigenvectors(n)
L = [(w, M3to2*(a/sum(a)), M3to2*(b/sum(b))) for (w,a,b) in R]
G = Graphics()
alphabet = self._language._alphabet
color_ = dict( (letter, hue(i/float(len(alphabet)))) for i,letter in
enumerate(alphabet))
for letter in alphabet:
L_filtered = [(w,p1,p2) for (w,p1,p2) in L if w[color_index] == letter]
words,rights,lefts = zip(*L_filtered)
if side == 'right':
G += point(rights, color=color_[letter], legend_label=letter)
elif side == 'left':
G += point(lefts, color=color_[letter], legend_label=letter)
else:
raise ValueError("side(=%s) should be left or right" % side)
if draw_line:
for (a,b) in L:
G += line([a,b], color='black', linestyle=":")
G += line([M3to2*vector(a) for a in [(1,0,0), (0,1,0), (0,0,1), (1,0,0)]])
title = "%s eigenvectors, colored by letter w[%s] of cylinder w" % (side, color_index)
G += text(title, (0.5, 1.05), axis_coords=True)
G.axes(False)
return G
def plot_n_matrices_eigenvectors(self, n, side='right', color_index=0, draw_line=False):
r"""
INPUT:
- ``n`` -- integer, length
- ``side`` -- ``'left'`` or ``'right'``, drawing left or right
eigenvectors
- ``color_index`` -- 0 for first letter, -1 for last letter
- ``draw_line`` -- boolean
EXAMPLES::
sage: from slabbe.matrix_cocycle import cocycles
sage: ARP = cocycles.ARP()
sage: G = ARP.plot_n_matrices_eigenvectors(2)
"""
from sage.plot.graphics import Graphics
from sage.plot.point import point
from sage.plot.line import line
from sage.plot.text import text
from sage.plot.colors import hue
from sage.modules.free_module_element import vector
from matrices import M3to2
R = self.n_matrices_eigenvectors(n)
L = [(w, M3to2*(a/sum(a)), M3to2*(b/sum(b))) for (w,a,b) in R]
G = Graphics()
alphabet = self._language._alphabet
color_ = dict( (letter, hue(i/float(len(alphabet)))) for i,letter in
enumerate(alphabet))
for letter in alphabet:
L_filtered = [(w,p1,p2) for (w,p1,p2) in L if w[color_index] == letter]
words,rights,lefts = zip(*L_filtered)
if side == 'right':
G += point(rights, color=color_[letter], legend_label=letter)
elif side == 'left':
G += point(lefts, color=color_[letter], legend_label=letter)
else:
raise ValueError("side(=%s) should be left or right" % side)
if draw_line:
for (a,b) in L:
G += line([a,b], color='black', linestyle=":")
G += line([M3to2*vector(a) for a in [(1,0,0), (0,1,0), (0,0,1), (1,0,0)]])
title = "%s eigenvectors, colored by letter w[%s] of cylinder w" % (side, color_index)
G += text(title, (0.5, 1.05), axis_coords=True)
G.axes(False)
return G
def piecewise_constant_image(A, B):
# Jumps up and down going around circle, not used
v = circle_drops(A, B)
G = Graphics()
w = ((Rational(i) / len(v), j) for i, j in enumerate(v))
for p0, p1 in w:
G += line([(p0, p1), (p0 + Rational(1) / len(w), p1)])
return G
def piecewise_linear_image(A,B):
# Jumps up and down going around circle, not used
v = circle_drops(A,B)
G = Graphics()
w = [(Rational(i)/len(v), j) for i,j in enumerate(v)]
for pt in w:
G += line([(pt[0],pt[1]),(pt[0]+Rational(1)/len(w),pt[1])])
return G
def plot(self, geosub, color=None):
r"""
EXAMPLES::
sage: from EkEkstar import kFace, kPatch, GeoSub
sage: sub = {1:[1,2], 2:[1,3], 3:[1]}
sage: geosub = GeoSub(sub,2, dual=True)
sage: P = kPatch([kFace((0,0,0),(1,2),dual=True),
....: kFace((0,0,1),(1,3),dual=True),
....: kFace((0,1,0),(2,1),dual=True),
....: kFace((0,0,0),(3,1),dual=True)])
sage: _ = P.plot(geosub)
"""
G = Graphics()
for face, m in self:
G += face._plot(geosub, color)
G.set_aspect_ratio(1)
return G
def plot3d(self,depth=None):
# FIXME: refactor this before publishing
from sage.plot.graphics import Graphics
from sage.plot.point import point
from sage.misc.flatten import flatten
from sage.plot.plot3d.shapes2 import sphere
if self._n !=3:
raise ValueError("Can only 3d plot fans.")
if depth == None:
depth = self._depth
if not self.is_finite() and depth==infinity:
raise ValueError("For infinite algebras you must specify the depth.")
colors = dict([(0,'red'),(1,'green'),(2,'blue'),(3,'cyan')])
G = Graphics()
roots = self.d_vectors(depth=depth)
compatible = []
while roots:
x = roots.pop()
for y in roots:
if self.compatibility_degree(x,y) == 0:
compatible.append((x,y))
for (u,v) in compatible:
G += _arc3d((_normalize(vector(u)),_normalize(vector(v))),thickness=0.5,color='black')
for i in range(3):
orbit = self.ith_orbit(i,depth=depth)
for j in orbit:
G += point(_normalize(vector(orbit[j])),color=colors[i],size=10,zorder=len(G.all))
if self.is_affine():
tube_vectors=map(vector,flatten(self.affine_tubes()))
tube_vectors=map(_normalize,tube_vectors)
for v in tube_vectors:
G += point(v,color=colors[3],size=10,zorder=len(G.all))
G += _arc3d((tube_vectors[0],tube_vectors[1]),thickness=5,color='gray',zorder=0)
G += sphere((0,0,0),opacity=0.1,zorder=0)
G._extra_kwds['frame']=False
G._extra_kwds['aspect_ratio']=1
return G
def plot(self, pointsize=20):
from sage.plot.graphics import Graphics
G = Graphics()
m = len(self._scales)
for i, (name, scale) in enumerate(zip(self._scale_names,
self._scales)):
G += list_plot(scale,
color=hue(1. * i / m),
legend_label=name,
pointsize=pointsize)
return G
def plot(self, m, pointsize=100, thickness=3, axes=False):
r"""
Return 2d graphics object contained in the primal box [-m,m]^d.
INPUT:
- ``pointsize``, integer (default:``100``),
- ``thickness``, integer (default:``3``),
- ``axes``, bool (default:``False``),
EXAMPLES::
sage: from slabbe import BondPercolationSample
sage: S = BondPercolationSample(0.5,2)
sage: S.plot(2) # optional long
It works in 3d!!::
sage: S = BondPercolationSample(0.5,3)
sage: S.plot(3, pointsize=10, thickness=1) # optional long
Graphics3d Object
"""
s = ""
s += "\\begin{tikzpicture}\n"
s += "[inner sep=0pt,thick,\n"
s += "reddot/.style={fill=red,draw=red,circle,minimum size=5pt}]\n"
s += "\\clip %s rectangle %s;\n" % ((-m - .4, -m - .4),
(m + .4, m + .4))
G = Graphics()
for u in self.cluster_in_box(m + 1):
G += point(u, color='blue', size=pointsize)
for (u, v) in self.edges_in_box(m + 1):
G += line((u, v), thickness=thickness, alpha=0.8)
G += text("p=%.3f" % self._p, (0.5, 1.03),
axis_coords=True,
color='black')
G += circle((0, 0), 0.5, color='red', thickness=thickness)
if self._dimension == 2:
G.axes(axes)
return G
def plot2d(self,depth=None):
# FIXME: refactor this before publishing
from sage.plot.line import line
from sage.plot.graphics import Graphics
if self._n !=2:
raise ValueError("Can only 2d plot fans.")
if depth == None:
depth = self._depth
if not self.is_finite() and depth==infinity:
raise ValueError("For infinite algebras you must specify the depth.")
colors = dict([(0,'red'),(1,'green')])
G = Graphics()
for i in range(2):
orbit = self.ith_orbit(i,depth=depth)
for j in orbit:
G += line([(0,0),vector(orbit[j])],color=colors[i],thickness=0.5, zorder=2*j+1)
G.set_aspect_ratio(1)
G._show_axes = False
return G
def bezier_path(self):
"""
Return ``self`` as a Bezier path.
This is needed to concatenate arcs, in order to
create hyperbolic polygons.
EXAMPLES::
sage: from sage.plot.arc import Arc
sage: op = {'alpha':1,'thickness':1,'rgbcolor':'blue','zorder':0,
....: 'linestyle':'--'}
sage: Arc(2,3,2.2,2.2,0,2,3,op).bezier_path()
Graphics object consisting of 1 graphics primitive
sage: a = arc((0,0),2,1,0,(pi/5,pi/2+pi/12), linestyle="--", color="red")
sage: b = a[0].bezier_path()
sage: b[0]
Bezier path from (1.618..., 0.5877...) to (-0.5176..., 0.9659...)
"""
from sage.plot.bezier_path import BezierPath
from sage.plot.graphics import Graphics
ma = self._matplotlib_arc()
transform = ma.get_transform().get_matrix()
cA, cC, cE = transform[0]
cB, cD, cF = transform[1]
points = []
for u in ma._path.vertices:
x, y = list(u)
points += [(cA * x + cC * y + cE, cB * x + cD * y + cF)]
cutlist = [points[0: 4]]
N = 4
while N < len(points):
cutlist += [points[N: N + 3]]
N += 3
g = Graphics()
opt = self.options()
opt['fill'] = False
g.add_primitive(BezierPath(cutlist, opt))
return g
def bezier_path(self):
"""
Return ``self`` as a Bezier path.
This is needed to concatenate arcs, in order to
create hyperbolic polygons.
EXAMPLES::
sage: from sage.plot.arc import Arc
sage: op = {'alpha':1,'thickness':1,'rgbcolor':'blue','zorder':0,
....: 'linestyle':'--'}
sage: Arc(2,3,2.2,2.2,0,2,3,op).bezier_path()
Graphics object consisting of 1 graphics primitive
sage: a = arc((0,0),2,1,0,(pi/5,pi/2+pi/12), linestyle="--", color="red")
sage: b = a[0].bezier_path()
sage: b[0]
Bezier path from (1.618..., 0.5877...) to (-0.5176..., 0.9659...)
"""
from sage.plot.bezier_path import BezierPath
from sage.plot.graphics import Graphics
ma = self._matplotlib_arc()
transform = ma.get_transform().get_matrix()
cA, cC, cE = transform[0]
cB, cD, cF = transform[1]
points = []
for u in ma._path.vertices:
x, y = list(u)
points += [(cA * x + cC * y + cE, cB * x + cD * y + cF)]
cutlist = [points[0:4]]
N = 4
while N < len(points):
cutlist += [points[N:N + 3]]
N += 3
g = Graphics()
opt = self.options()
opt['fill'] = False
g.add_primitive(BezierPath(cutlist, opt))
return g
def legend_3d(hyperplane_arrangement, hyperplane_colors, length):
r"""
Create plot of a 3d legend for an arrangement of planes in 3-space. The
``length`` parameter determines whether short or long labels are used in
the legend.
INPUT:
- ``hyperplane_arrangement`` -- a hyperplane arrangement
- ``hyperplane_colors`` -- list of colors
- ``length`` -- either ``'short'`` or ``'long'``
OUTPUT:
- A graphics object.
EXAMPLES::
sage: a = hyperplane_arrangements.semiorder(3)
sage: from sage.geometry.hyperplane_arrangement.plot import legend_3d
sage: legend_3d(a, colors.values()[:6],length='long')
sage: b = hyperplane_arrangements.semiorder(4)
sage: c = b.essentialization()
sage: legend_3d(c, colors.values()[:12], length='long')
sage: legend_3d(c, colors.values()[:12], length='short')
sage: p = legend_3d(c, colors.values()[:12], length='short')
sage: p.set_legend_options(ncol=4)
sage: type(p)
<class 'sage.plot.graphics.Graphics'>
"""
if hyperplane_arrangement.dimension() != 3:
raise ValueError('arrangements must be in 3-space')
hyps = hyperplane_arrangement.hyperplanes()
N = len(hyperplane_arrangement)
if length == 'short':
labels = [' ' + str(i) for i in range(N)]
else:
labels = [
' ' + hyps[i]._repr_linear(include_zero=False) for i in range(N)
]
p = Graphics()
for i in range(N):
p += line([(0, 0), (0, 0)],
color=hyperplane_colors[i],
thickness=8,
legend_label=labels[i],
axes=False)
p.set_legend_options(title='Hyperplanes',
loc='center',
labelspacing=0.4,
fancybox=True,
font_size='x-large',
ncol=2)
p.legend(True)
return p
def plot(self, m, pointsize=100, thickness=3, axes=False):
r"""
Return 2d graphics object contained in the primal box [-m,m]^d.
INPUT:
- ``pointsize``, integer (default:``100``),
- ``thickness``, integer (default:``3``),
- ``axes``, bool (default:``False``),
EXAMPLES::
sage: from slabbe import BondPercolationSample
sage: S = BondPercolationSample(0.5,2)
sage: S.plot(2) # optional long
It works in 3d!!::
sage: S = BondPercolationSample(0.5,3)
sage: S.plot(3, pointsize=10, thickness=1) # optional long
Graphics3d Object
"""
s = ""
s += "\\begin{tikzpicture}\n"
s += "[inner sep=0pt,thick,\n"
s += "reddot/.style={fill=red,draw=red,circle,minimum size=5pt}]\n"
s += "\\clip %s rectangle %s;\n" % ((-m-.4,-m-.4), (m+.4,m+.4))
G = Graphics()
for u in self.cluster_in_box(m+1):
G += point(u, color='blue', size=pointsize)
for (u,v) in self.edges_in_box(m+1):
G += line((u,v), thickness=thickness, alpha=0.8)
G += text("p=%.3f" % self._p, (0.5,1.03), axis_coords=True, color='black')
G += circle((0,0), 0.5, color='red', thickness=thickness)
if self._dimension == 2:
G.axes(axes)
return G
def plot_cluster_fan_stereographically(self, northsign=1, north=None, right=None, colors=None):
from sage.plot.graphics import Graphics
from sage.plot.point import point
from sage.misc.flatten import flatten
from sage.plot.line import line
from sage.misc.functional import norm
if self.rk !=3:
raise ValueError("Can only stereographically project fans in 3d.")
if not self.is_finite() and self._depth == infinity:
raise ValueError("For infinite algebras you must specify the depth.")
if north == None:
if self.is_affine():
north = vector(self.delta())
else:
north = vector( (-1,-1,-1) )
if right == None:
if self.is_affine():
right = vector(self.gamma())
else:
right = vector( (1,0,0) )
if colors == None:
colors = dict([(0,'red'),(1,'green'),(2,'blue'),(3,'cyan'),(4,'yellow')])
G = Graphics()
roots = list(self.g_vectors())
compatible = []
while roots:
x = roots.pop()
for y in roots:
if self.compatibility_degree(x,y) == 0:
compatible.append((x,y))
for (u,v) in compatible:
G += _stereo_arc(vector(u),vector(v),vector(u+v),north=northsign*north,right=right,thickness=0.5,color='black')
for i in range(3):
orbit = self.ith_orbit(i)
for j in orbit:
G += point(_stereo_coordinates(vector(orbit[j]),north=northsign*north,right=right),color=colors[i],zorder=len(G))
if self.is_affine():
tube_vectors = map(vector,flatten(self.affine_tubes()))
for v in tube_vectors:
G += point(_stereo_coordinates(v,north=northsign*north,right=right),color=colors[3],zorder=len(G))
if north != vector(self.delta()):
G += _stereo_arc(tube_vectors[0],tube_vectors[1],vector(self.delta()),north=northsign*north,right=right,thickness=2,color=colors[4],zorder=0)
else:
# FIXME: refactor this before publishing
tube_projections = [
_stereo_coordinates(v,north=northsign*north,right=right)
for v in tube_vectors ]
t=min((G.get_minmax_data()['xmax'],G.get_minmax_data()['ymax']))
G += line([tube_projections[0],tube_projections[0]+t*(_normalize(tube_projections[0]-tube_projections[1]))],thickness=2,color=colors[4],zorder=0)
G += line([tube_projections[1],tube_projections[1]+t*(_normalize(tube_projections[1]-tube_projections[0]))],thickness=2,color=colors[4],zorder=0)
G.set_aspect_ratio(1)
G._show_axes = False
return G
def make_chart(self, region=None):
G = Graphics()
smin, smax, nmin, nmax = [], [], [], []
for d in self.chartgens(region):
x, y = self.get_coords(d)
G += point2d((x, y), zorder=10)
smin.append(y)
smax.append(y)
nmin.append(x)
nmax.append(x)
smin = [
min(smin),
]
smax = [
max(smax),
]
nmin = [
min(nmin),
]
nmax = [
max(nmax),
]
for l in self.chartlines():
try:
pts, lineargs = self.lineinfo[l["line"]]
x1, y1 = self.get_coords(self.geninfo(int(l["src"])))
x2, y2 = self.get_coords(self.geninfo(int(l["tar"])))
G += line2d([(x1, y1), (x2, y2)], **lineargs)
except:
print("line not understood:", l)
off = 0.5
G.ymin(smin[0] - off)
G.ymax(smax[0] + off)
G.xmin(nmin[0] - off)
G.xmax(nmax[0] + off)
return G
def plot_n_cylinders(self, n, labels=True):
r"""
EXAMPLES::
sage: from slabbe.matrix_cocycle import cocycles
sage: C = cocycles.Sorted_ARP()
sage: G = C.plot_n_cylinders(3)
"""
from sage.plot.graphics import Graphics
from sage.plot.polygon import polygon
from sage.plot.text import text
from matrices import M3to2
G = Graphics()
for w,cyl in self.n_cylinders_iterator(n):
columns = cyl.columns()
G += polygon((M3to2*col/col.norm(1) for col in columns), fill=False)
if labels:
sum_cols = sum(columns)
G += text("{}".format(w), M3to2*sum_cols/sum_cols.norm(1))
return G
def render_2d(projection, point_opts={}, line_opts={}, polygon_opts={}):
"""
Return 2d rendering of the projection of a polyhedron into
2-dimensional ambient space.
EXAMPLES::
sage: p1 = Polyhedron(vertices=[[1,1]], rays=[[1,1]])
sage: q1 = p1.projection()
sage: p2 = Polyhedron(vertices=[[1,0], [0,1], [0,0]])
sage: q2 = p2.projection()
sage: p3 = Polyhedron(vertices=[[1,2]])
sage: q3 = p3.projection()
sage: p4 = Polyhedron(vertices=[[2,0]], rays=[[1,-1]], lines=[[1,1]])
sage: q4 = p4.projection()
sage: q1.show() + q2.show() + q3.show() + q4.show()
sage: from sage.geometry.polyhedron.plot import render_2d
sage: q = render_2d(p1.projection())
sage: q._objects
[Point set defined by 1 point(s),
Arrow from (1.0,1.0) to (2.0,2.0),
Polygon defined by 3 points]
"""
if is_Polyhedron(projection):
projection = Projection(projection)
from sage.plot.graphics import Graphics
plt = Graphics()
if isinstance(point_opts, dict):
point_opts.setdefault('zorder', 2)
point_opts.setdefault('pointsize', 10)
plt += projection.render_points_2d(**point_opts)
if isinstance(line_opts, dict):
line_opts.setdefault('zorder', 1)
plt += projection.render_outline_2d(**line_opts)
if isinstance(polygon_opts, dict):
polygon_opts.setdefault('zorder', 0)
plt += projection.render_fill_2d(**polygon_opts)
return plt
def circle_image(A, B):
G = Graphics()
G += circle((0, 0), 1, color='black', thickness=3)
G += circle(
(0, 0), 1.4, color='black', alpha=0
) # This adds an invisible framing circle to the plot, which protects the aspect ratio from being skewed.
from collections import defaultdict
tmp = defaultdict(int)
for a in A:
for j in range(a):
if gcd(j, a) == 1:
rational = Rational(j) / Rational(a)
tmp[(rational.numerator(), rational.denominator())] += 1
for b in B:
for j in range(b):
if gcd(j, b) == 1:
rational = Rational(j) / Rational(b)
tmp[(rational.numerator(), rational.denominator())] -= 1
C = ComplexField()
color1 = (41 / 255, 95 / 255, 45 / 255)
color2 = (0 / 255, 0 / 255, 150 / 255)
for val in tmp:
if tmp[val] > 0:
G += text(str(tmp[val]),
exp(C(-.2 + 2 * 3.14159 * I * val[0] / val[1])),
fontsize=30,
axes=False,
color=color1)
if tmp[val] < 0:
G += text(str(abs(tmp[val])),
exp(C(.2 + 2 * 3.14159 * I * val[0] / val[1])),
fontsize=30,
axes=False,
color=color2)
return G
def plot(self, edge_labels=False, polygon_labels=False):
from sage.plot.graphics import Graphics
surface = self._surface
polygons = surface.polygons()
if not polygons.is_finite():
raise NotImplementedError(
"no implementation for surface built from infinitely many polygons"
)
if self._pos is None:
self._set_positions()
if self._edge_labels is None:
self._set_edge_labels()
G = Graphics()
for a in polygons.keys():
p = polygons[a]
v = p.vertices(translation=self._pos[a])
G += p.plot(translation=self._pos[a])
if edge_labels:
for i in xrange(p.num_edges()):
G += text(str(self._edge_labels[a, i]),
(v[i] + v[(i + 1) % p.num_edges()]) / 2,
color='black')
# then we possibly plot the lable inside each polygon
if len(self._index_set) != 1:
for a in polygons.keys():
p = polygons[a]
if polygon_labels:
m = sum(
p.vertices(translation=self._pos[a])) / p.num_edges()
G += text(str(a), m, color='black')
return G
def _graphics(self, plot_curve, ambient_coords, thickness=1,
aspect_ratio='automatic', color='red', style='-',
label_axes=True):
r"""
Plot a 2D or 3D curve in a Cartesian graph with axes labeled by
the ambient coordinates; it is invoked by the methods
:meth:`plot` of
:class:`~sage.manifolds.differentiable.curve.DifferentiableCurve`,
and its subclasses
(:class:`~sage.manifolds.differentiable.integrated_curve.IntegratedCurve`,
:class:`~sage.manifolds.differentiable.integrated_curve.IntegratedAutoparallelCurve`,
and
:class:`~sage.manifolds.differentiable.integrated_curve.IntegratedGeodesic`).
TESTS::
sage: M = Manifold(2, 'R^2')
sage: X.<x,y> = M.chart()
sage: R.<t> = RealLine()
sage: c = M.curve([cos(t), sin(t)], (t, 0, 2*pi), name='c')
sage: graph = c._graphics([[1,2], [3,4]], [x,y])
sage: graph._objects[0].xdata == [1,3]
True
sage: graph._objects[0].ydata == [2,4]
True
sage: graph._objects[0]._options['thickness'] == 1
True
sage: graph._extra_kwds['aspect_ratio'] == 'automatic'
True
sage: graph._objects[0]._options['rgbcolor'] == 'red'
True
sage: graph._objects[0]._options['linestyle'] == '-'
True
sage: l = [r'$'+latex(x)+r'$', r'$'+latex(y)+r'$']
sage: graph._extra_kwds['axes_labels'] == l
True
"""
from sage.plot.graphics import Graphics
from sage.plot.line import line
from sage.manifolds.utilities import set_axes_labels
#
# The plot
#
n_pc = len(ambient_coords)
resu = Graphics()
resu += line(plot_curve, color=color, linestyle=style,
thickness=thickness)
if n_pc == 2: # 2D graphic
resu.set_aspect_ratio(aspect_ratio)
if label_axes:
# We update the dictionary _extra_kwds (options to be passed
# to show()), instead of using the method
# Graphics.axes_labels() since the latter is not robust w.r.t.
# graph addition
resu._extra_kwds['axes_labels'] = [r'$'+latex(pc)+r'$'
for pc in ambient_coords]
else: # 3D graphic
if aspect_ratio == 'automatic':
aspect_ratio = 1
resu.aspect_ratio(aspect_ratio)
if label_axes:
labels = [str(pc) for pc in ambient_coords]
resu = set_axes_labels(resu, *labels)
return resu
def plot(self, chart=None, ambient_coords=None, mapping=None, prange=None,
include_end_point=(True, True), end_point_offset=(0.001, 0.001),
max_value=8, parameters=None, color='red', style='-',
thickness=1, plot_points=75, label_axes=True,
aspect_ratio='automatic'):
r"""
Plot the current curve (``self``) in a Cartesian graph based on the
coordinates of some ambient chart.
The curve is drawn in terms of two (2D graphics) or three (3D graphics)
coordinates of a given chart, called hereafter the *ambient chart*.
The ambient chart's domain must overlap with the curve's codomain or
with the codomain of the composite curve `\Phi\circ c`, where `c` is
``self`` and `\Phi` some manifold differential mapping (argument
``mapping`` below).
INPUT:
- ``chart`` -- (default: ``None``) the ambient chart (see above);
if ``None``, the default chart of the codomain of the curve (or of
the curve composed with `\Phi`) is used
- ``ambient_coords`` -- (default: ``None``) tuple containing the 2 or 3
coordinates of the ambient chart in terms of which the plot is
performed; if ``None``, all the coordinates of the ambient chart are
considered
- ``mapping`` -- (default: ``None``) differentiable mapping `\Phi`
(instance of
:class:`~sage.geometry.manifolds.diffmapping.DiffMapping`)
providing the link between ``self`` and the ambient chart ``chart``
(cf. above); if ``None``, the ambient chart is supposed to be defined
on the codomain of the curve ``self``.
- ``prange`` -- (default: ``None``) range of the curve parameter for
the plot; if ``None``, the entire parameter range declared during the
curve construction is considered (with -Infinity
replaced by ``-max_value`` and +Infinity by ``max_value``)
- ``include_end_point`` -- (default: ``(True, True)``) determines
whether the end points of ``prange`` are included in the plot
- ``end_point_offset`` -- (default: ``(0.001, 0.001)``) offsets from
the end points when they are not included in the plot: if
``include_end_point[0] == False``, the minimal value of the curve
parameter used for the plot is ``prange[0] + end_point_offset[0]``,
while if ``include_end_point[1] == False``, the maximal value is
``prange[1] - end_point_offset[1]``.
- ``max_value`` -- (default: 8) numerical value substituted to
+Infinity if the latter is the upper bound of the parameter range;
similarly ``-max_value`` is the numerical valued substituted for
-Infinity
- ``parameters`` -- (default: ``None``) dictionary giving the numerical
values of the parameters that may appear in the coordinate expression
of ``self``
- ``color`` -- (default: 'red') color of the drawn curve
- ``style`` -- (default: '-') color of the drawn curve; NB: ``style``
is effective only for 2D plots
- ``thickness`` -- (default: 1) thickness of the drawn curve
- ``plot_points`` -- (default: 75) number of points to plot the curve
- ``label_axes`` -- (default: ``True``) boolean determining whether the
labels of the coordinate axes of ``chart`` shall be added to the
graph; can be set to ``False`` if the graph is 3D and must be
superposed with another graph.
- ``aspect_ratio`` -- (default: 'automatic') aspect ratio of the plot;
the default value ('automatic') applies only for 2D plots; for
3D plots, the default value is ``1`` instead.
OUTPUT:
- a graphic object, either an instance of
:class:`~sage.plot.graphics.Graphics` for a 2D plot (i.e. based on
2 coordinates of ``chart``) or an instance of
:class:`~sage.plot.plot3d.base.Graphics3d` for a 3D plot (i.e.
based on 3 coordinates of ``chart``)
EXAMPLES:
Plot of the lemniscate of Gerono::
sage: R2 = Manifold(2, 'R^2')
sage: X.<x,y> = R2.chart()
sage: R.<t> = RealLine()
sage: c = R2.curve([sin(t), sin(2*t)/2], (t, 0, 2*pi), name='c')
sage: c.plot() # 2D plot
Graphics object consisting of 1 graphics primitive
Plot for a subinterval of the curve's domain::
sage: c.plot(prange=(0,pi))
Graphics object consisting of 1 graphics primitive
Plot with various options::
sage: c.plot(color='green', style=':', thickness=3, aspect_ratio=1)
Graphics object consisting of 1 graphics primitive
Plot via a mapping to another manifold: loxodrome of a sphere viewed
in `\RR^3`::
sage: S2 = Manifold(2, 'S^2')
sage: U = S2.open_subset('U')
sage: XS.<th,ph> = U.chart(r'th:(0,pi):\theta ph:(0,2*pi):\phi')
sage: R3 = Manifold(3, 'R^3')
sage: X3.<x,y,z> = R3.chart()
sage: F = S2.diff_mapping(R3, {(XS, X3): [sin(th)*cos(ph),
....: sin(th)*sin(ph), cos(th)]}, name='F')
sage: F.display()
F: S^2 --> R^3
on U: (th, ph) |--> (x, y, z) = (cos(ph)*sin(th), sin(ph)*sin(th), cos(th))
sage: c = S2.curve([2*atan(exp(-t/10)), t], (t, -oo, +oo), name='c')
sage: graph_c = c.plot(mapping=F, max_value=40,
....: plot_points=200, thickness=2, label_axes=False) # 3D plot
sage: graph_S2 = XS.plot(X3, mapping=F, nb_values=11, color='black') # plot of the sphere
sage: show(graph_c + graph_S2) # the loxodrome + the sphere
Example of use of the argument ``parameters``: we define a curve with
some symbolic parameters ``a`` and ``b``::
sage: a, b = var('a b')
sage: c = R2.curve([a*cos(t) + b, a*sin(t)], (t, 0, 2*pi), name='c')
To make a plot, we set spectific values for ``a`` and ``b`` by means
of the Python dictionary ``parameters``::
sage: c.plot(parameters={a: 2, b: -3}, aspect_ratio=1)
Graphics object consisting of 1 graphics primitive
"""
from sage.rings.infinity import Infinity
from sage.misc.functional import numerical_approx
from sage.plot.graphics import Graphics
from sage.plot.line import line
from sage.geometry.manifolds.chart import Chart
from sage.geometry.manifolds.utilities import set_axes_labels
#
# The "effective" curve to be plotted
#
if mapping is None:
eff_curve = self
else:
eff_curve = mapping.restrict(self.codomain()) * self
#
# The chart w.r.t. which the curve is plotted
#
if chart is None:
chart = eff_curve._codomain.default_chart()
elif not isinstance(chart, Chart):
raise TypeError("{} is not a chart".format(chart))
#
# Coordinates of the above chart w.r.t. which the curve is plotted
#
if ambient_coords is None:
ambient_coords = chart[:] # all chart coordinates are used
n_pc = len(ambient_coords)
if n_pc != 2 and n_pc !=3:
raise ValueError("The number of coordinates involved in the " +
"plot must be either 2 or 3, not {}".format(n_pc))
ind_pc = [chart[:].index(pc) for pc in ambient_coords] # indices of plot
# coordinates
#
# Parameter range for the plot
#
if prange is None:
prange = (self._domain.lower_bound(), self._domain.upper_bound())
elif not isinstance(prange, (tuple, list)):
raise TypeError("{} is neither a tuple nor a list".format(prange))
elif len(prange) != 2:
raise ValueError("the argument prange must be a tuple/list " +
"of 2 elements")
tmin = prange[0]
tmax = prange[1]
if tmin == -Infinity:
tmin = -max_value
elif not include_end_point[0]:
tmin = tmin + end_point_offset[0]
if tmax == Infinity:
tmax = max_value
elif not include_end_point[1]:
tmax = tmax - end_point_offset[1]
tmin = numerical_approx(tmin)
tmax = numerical_approx(tmax)
#
# The coordinate expression of the effective curve
#
canon_chart = self._domain.canonical_chart()
transf = None
for chart_pair in eff_curve._coord_expression:
if chart_pair == (canon_chart, chart):
transf = eff_curve._coord_expression[chart_pair]
break
else:
# Search for a subchart
for chart_pair in eff_curve._coord_expression:
for schart in chart._subcharts:
if chart_pair == (canon_chart, schart):
transf = eff_curve._coord_expression[chart_pair]
if transf is None:
raise ValueError("No expression has been found for " +
"{} in terms of {}".format(self, format))
#
# List of points for the plot curve
#
plot_curve = []
dt = (tmax - tmin) / (plot_points - 1)
t = tmin
if parameters is None:
for i in range(plot_points):
x = transf(t, simplify=False)
plot_curve.append( [numerical_approx(x[j]) for j in ind_pc] )
t += dt
else:
for i in range(plot_points):
x = transf(t, simplify=False)
plot_curve.append(
[numerical_approx( x[j].substitute(parameters) )
for j in ind_pc] )
t += dt
#
# The plot
#
resu = Graphics()
resu += line(plot_curve, color=color, linestyle=style,
thickness=thickness)
if n_pc==2: # 2D graphic
resu.set_aspect_ratio(aspect_ratio)
if label_axes:
# We update the dictionary _extra_kwds (options to be passed
# to show()), instead of using the method
# Graphics.axes_labels() since the latter is not robust w.r.t.
# graph addition
resu._extra_kwds['axes_labels'] = [r'$'+latex(pc)+r'$'
for pc in ambient_coords]
else: # 3D graphic
if aspect_ratio == 'automatic':
aspect_ratio = 1
resu.aspect_ratio(aspect_ratio)
if label_axes:
labels = [str(pc) for pc in ambient_coords]
resu = set_axes_labels(resu, *labels)
return resu
def plot(self, color='sign'):
"""
Return a plot of ``self``.
INPUT:
- ``color`` -- can be any of the following:
* ``4`` - use 4 colors: black, red, blue, and green with each
corresponding to up, right, down, and left respectively
* ``2`` - use 2 colors: red for horizontal, blue for vertical arrows
* ``'sign'`` - use red for right and down arrows, blue for left
and up arrows
* a list of 4 colors for each direction
* a function which takes a direction and a boolean corresponding
to the sign
EXAMPLES::
sage: M = SixVertexModel(2, boundary_conditions='ice')
sage: print(M[0].plot().description())
Arrow from (-1.0,0.0) to (0.0,0.0)
Arrow from (-1.0,1.0) to (0.0,1.0)
Arrow from (0.0,0.0) to (0.0,-1.0)
Arrow from (0.0,0.0) to (1.0,0.0)
Arrow from (0.0,1.0) to (0.0,0.0)
Arrow from (0.0,1.0) to (0.0,2.0)
Arrow from (1.0,0.0) to (1.0,-1.0)
Arrow from (1.0,0.0) to (1.0,1.0)
Arrow from (1.0,1.0) to (0.0,1.0)
Arrow from (1.0,1.0) to (1.0,2.0)
Arrow from (2.0,0.0) to (1.0,0.0)
Arrow from (2.0,1.0) to (1.0,1.0)
"""
from sage.plot.graphics import Graphics
from sage.plot.arrow import arrow
if color == 4:
color_list = ['black', 'red', 'blue', 'green']
cfunc = lambda d,pm: color_list[d]
elif color == 2:
cfunc = lambda d,pm: 'red' if d % 2 == 0 else 'blue'
elif color == 1 or color is None:
cfunc = lambda d,pm: 'black'
elif color == 'sign':
cfunc = lambda d,pm: 'red' if pm else 'blue' # RD are True
elif isinstance(color, (list, tuple)):
cfunc = lambda d,pm: color[d]
else:
cfunc = color
G = Graphics()
for j,row in enumerate(reversed(self)):
for i,entry in enumerate(row):
if entry == 0: # LR
G += arrow((i,j+1), (i,j), color=cfunc(2, True))
G += arrow((i,j), (i+1,j), color=cfunc(1, True))
if j == 0:
G += arrow((i,j-1), (i,j), color=cfunc(0, False))
if i == 0:
G += arrow((i,j), (i-1,j), color=cfunc(3, False))
elif entry == 1: # LU
G += arrow((i,j), (i,j+1), color=cfunc(0, False))
G += arrow((i+1,j), (i,j), color=cfunc(3, False))
if j == 0:
G += arrow((i,j-1), (i,j), color=cfunc(0, False))
if i == 0:
G += arrow((i,j), (i-1,j), color=cfunc(3, False))
elif entry == 2: # LD
G += arrow((i,j+1), (i,j), color=cfunc(2, True))
G += arrow((i+1,j), (i,j), color=cfunc(3, False))
if j == 0:
G += arrow((i,j), (i,j-1), color=cfunc(2, True))
if i == 0:
G += arrow((i,j), (i-1,j), color=cfunc(3, False))
elif entry == 3: # UD
G += arrow((i,j), (i,j+1), color=cfunc(0, False))
G += arrow((i+1,j), (i,j), color=cfunc(3, False))
if j == 0:
G += arrow((i,j), (i,j-1), color=cfunc(2, True))
if i == 0:
G += arrow((i-1,j), (i,j), color=cfunc(1, True))
elif entry == 4: # UR
G += arrow((i,j), (i,j+1), color=cfunc(0, False))
G += arrow((i,j), (i+1,j), color=cfunc(1, True))
if j == 0:
G += arrow((i,j-1), (i,j), color=cfunc(0, False))
if i == 0:
G += arrow((i-1,j), (i,j), color=cfunc(1, True))
elif entry == 5: # RD
G += arrow((i,j+1), (i,j), color=cfunc(2, True))
G += arrow((i,j), (i+1,j), color=cfunc(1, True))
if j == 0:
G += arrow((i,j), (i,j-1), color=cfunc(2, True))
if i == 0:
G += arrow((i-1,j), (i,j), color=cfunc(1, True))
G.axes(False)
return G
def plot(self):
r"""
Return a graphical object of the Fully Packed Loop
EXAMPLES:
Here is the fully packed loop for
.. MATH::
\begin{pmatrix} 0&1&1 \\ 1&-1&1 \\ 0&1&0 \end{pmatrix}:
.. PLOT::
:width: 200 px
A = AlternatingSignMatrix([[0, 1, 0], [1, -1, 1], [0, 1, 0]])
fpl = FullyPackedLoop(A)
p = fpl.plot()
sphinx_plot(p)
Here is how Sage represents this::
sage: A = AlternatingSignMatrix([[0, 1, 0], [1, -1, 1], [0, 1, 0]])
sage: fpl = FullyPackedLoop(A)
sage: print(fpl.plot().description())
Line defined by 2 points: [(-1.0, 1.0), (0.0, 1.0)]
Line defined by 2 points: [(0.0, 0.0), (0.0, -1.0)]
Line defined by 2 points: [(0.0, 0.0), (1.0, 0.0)]
Line defined by 2 points: [(0.0, 2.0), (0.0, 3.0)]
Line defined by 2 points: [(0.0, 2.0), (0.0, 3.0)]
Line defined by 2 points: [(0.0, 2.0), (1.0, 2.0)]
Line defined by 2 points: [(1.0, 1.0), (0.0, 1.0)]
Line defined by 2 points: [(1.0, 1.0), (2.0, 1.0)]
Line defined by 2 points: [(2.0, 0.0), (1.0, 0.0)]
Line defined by 2 points: [(2.0, 0.0), (2.0, -1.0)]
Line defined by 2 points: [(2.0, 2.0), (1.0, 2.0)]
Line defined by 2 points: [(2.0, 2.0), (2.0, 3.0)]
Line defined by 2 points: [(2.0, 2.0), (2.0, 3.0)]
Line defined by 2 points: [(3.0, 1.0), (2.0, 1.0)]
Line defined by 2 points: [(3.0, 1.0), (2.0, 1.0)]
Here are the other 3 by 3 Alternating Sign Matrices and their corresponding
fully packed loops:
.. MATH::
A = \begin{pmatrix} 1&0&0 \\ 0&1&0 \\ 0&0&1 \\ \end{pmatrix}
gives:
.. PLOT::
:width: 200 px
A = AlternatingSignMatrix([[1, 0, 0], [0, 1, 0], [0, 0, 1]])
fpl = FullyPackedLoop(A)
p = fpl.plot()
sphinx_plot(p)
.. MATH::
A = \begin{pmatrix} 1&0&0 \\ 0&0&1 \\ 0&1&0 \\ \end{pmatrix}
gives:
.. PLOT::
:width: 200 px
A = AlternatingSignMatrix([[1, 0, 0], [0, 0, 1], [0, 1, 0]])
fpl = FullyPackedLoop(A)
p = fpl.plot()
sphinx_plot(p)
.. MATH::
A = \begin{pmatrix} 0&1&0\\ 1&0&0\\ 0&0&1\\ \end{pmatrix}
gives:
.. PLOT::
:width: 200 px
A = AlternatingSignMatrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]])
fpl = FullyPackedLoop(A)
p = fpl.plot()
sphinx_plot(p)
.. MATH::
A = \begin{pmatrix} 0&1&0\\ 0&0&1\\ 1&0&0\\ \end{pmatrix}
gives:
.. PLOT::
:width: 200 px
A = AlternatingSignMatrix([[0, 1, 0], [0, 0, 1], [1, 0, 0]])
fpl = FullyPackedLoop(A)
p = fpl.plot()
sphinx_plot(p)
.. MATH::
A = \begin{pmatrix} 0&0&1\\ 1&0&0\\ 0&1&0\\ \end{pmatrix}
gives:
.. PLOT::
:width: 200 px
A = AlternatingSignMatrix([[0, 0, 1], [1, 0, 0], [0, 1, 0]])
fpl = FullyPackedLoop(A)
p = fpl.plot()
sphinx_plot(p)
.. MATH::
A = \begin{pmatrix} 0&0&1\\ 0&1&0\\ 1&0&0\\ \end{pmatrix}
gives:
.. PLOT::
:width: 200 px
A = AlternatingSignMatrix([[0, 0, 1], [0, 1, 0], [1, 0, 0]])
fpl = FullyPackedLoop(A)
p = fpl.plot()
sphinx_plot(p)
EXAMPLES::
sage: A = AlternatingSignMatrix([[0, 1, 0, 0], [1, -1, 0, 1], \
[0, 1, 0, 0],[0, 0, 1, 0]])
sage: fpl = FullyPackedLoop(A)
sage: print(fpl.plot().description())
Line defined by 2 points: [(-1.0, 0.0), (0.0, 0.0)]
Line defined by 2 points: [(-1.0, 2.0), (0.0, 2.0)]
Line defined by 2 points: [(0.0, 1.0), (0.0, 0.0)]
Line defined by 2 points: [(0.0, 1.0), (1.0, 1.0)]
Line defined by 2 points: [(0.0, 3.0), (0.0, 4.0)]
Line defined by 2 points: [(0.0, 3.0), (0.0, 4.0)]
Line defined by 2 points: [(0.0, 3.0), (1.0, 3.0)]
Line defined by 2 points: [(1.0, 0.0), (1.0, -1.0)]
Line defined by 2 points: [(1.0, 0.0), (2.0, 0.0)]
Line defined by 2 points: [(1.0, 2.0), (0.0, 2.0)]
Line defined by 2 points: [(1.0, 2.0), (2.0, 2.0)]
Line defined by 2 points: [(2.0, 1.0), (1.0, 1.0)]
Line defined by 2 points: [(2.0, 1.0), (2.0, 2.0)]
Line defined by 2 points: [(2.0, 3.0), (1.0, 3.0)]
Line defined by 2 points: [(2.0, 3.0), (2.0, 4.0)]
Line defined by 2 points: [(2.0, 3.0), (2.0, 4.0)]
Line defined by 2 points: [(3.0, 0.0), (2.0, 0.0)]
Line defined by 2 points: [(3.0, 0.0), (3.0, -1.0)]
Line defined by 2 points: [(3.0, 2.0), (3.0, 1.0)]
Line defined by 2 points: [(3.0, 2.0), (3.0, 3.0)]
Line defined by 2 points: [(4.0, 1.0), (3.0, 1.0)]
Line defined by 2 points: [(4.0, 1.0), (3.0, 1.0)]
Line defined by 2 points: [(4.0, 3.0), (3.0, 3.0)]
Line defined by 2 points: [(4.0, 3.0), (3.0, 3.0)]
Here is the plot:
.. PLOT::
:width: 300 px
A = AlternatingSignMatrix([[0, 1, 0, 0], [1, -1, 0, 1], [0, 1, 0, 0],[0, 0, 1, 0]])
fpl = FullyPackedLoop(A)
p = fpl.plot()
sphinx_plot(p)
"""
G = Graphics()
n=len(self._six_vertex_model)-1
for j,row in enumerate(reversed(self._six_vertex_model)):
for i,entry in enumerate(row):
if i == 0 and (i+j+n+1) % 2 ==0:
G+= line([(i-1,j),(i,j)])
if i == n and (i+j+n+1) % 2 ==0:
G+= line([(i+1,j),(i,j)])
if j == 0 and (i+j+n) % 2 ==0:
G+= line([(i,j),(i,j-1)])
if j == n and (i+j+n) % 2 ==0:
G+= line([(i,j),(i,j+1)])
if entry == 0: # LR
if (i+j+n) % 2==0:
G += line([(i,j), (i+1,j)])
else:
G += line([(i,j),(i,j+1)])
elif entry == 1: # LU
if (i+j+n) % 2 ==0:
G += line([(i,j), (i,j+1)])
else:
G += line([(i+1,j), (i,j)])
elif entry == 2: # LD
if (i+j+n) % 2 == 0:
pass
else:
G += line([(i,j+1), (i,j)])
G += line([(i+1,j), (i,j)])
elif entry == 3: # UD
if (i+j+n) % 2 == 0:
G += line([(i,j), (i,j+1)])
else:
G += line([(i+1,j), (i,j)])
elif entry == 4: # UR
if (i+j+n) % 2 ==0:
G += line([(i,j), (i,j+1)])
G += line([(i,j), (i+1,j)])
else:
pass
elif entry == 5: # RD
if (i+j+n) % 2 ==0:
G += line([(i,j), (i+1,j)])
else:
G += line([(i,j+1), (i,j)])
G.axes(False)
return G
def plot(self,
chart=None,
ambient_coords=None,
mapping=None,
chart_domain=None,
fixed_coords=None,
ranges=None,
max_value=8,
nb_values=None,
steps=None,
scale=1,
color='blue',
parameters=None,
label_axes=True,
**extra_options):
r"""
Plot the vector field in a Cartesian graph based on the coordinates
of some ambient chart.
The vector field is drawn in terms of two (2D graphics) or three
(3D graphics) coordinates of a given chart, called hereafter the
*ambient chart*.
The vector field's base points `p` (or their images `\Phi(p)` by some
differentiable mapping `\Phi`) must lie in the ambient chart's domain.
INPUT:
- ``chart`` -- (default: ``None``) the ambient chart (see above); if
``None``, the default chart of the vector field's domain is used
- ``ambient_coords`` -- (default: ``None``) tuple containing the 2 or 3
coordinates of the ambient chart in terms of which the plot is
performed; if ``None``, all the coordinates of the ambient chart are
considered
- ``mapping`` -- (default: ``None``) differentiable mapping `\Phi`
(instance of
:class:`~sage.geometry.manifolds.diffmapping.DiffMapping`)
providing the link between the vector field's domain and
the ambient chart ``chart``; if ``None``, the identity mapping is
assumed
- ``chart_domain`` -- (default: ``None``) chart on the vector
field's domain to define the points at which vector arrows are to be
plotted; if ``None``, the default chart of the vector field's domain
is used
- ``fixed_coords`` -- (default: ``None``) dictionary with keys the
coordinates of ``chart_domain`` that are kept fixed and with values
the value of these coordinates; if ``None``, all the coordinates of
``chart_domain`` are used
- ``ranges`` -- (default: ``None``) dictionary with keys the
coordinates of ``chart_domain`` to be used and values
tuples ``(x_min,x_max)`` specifying the
coordinate range for the plot; if ``None``, the entire coordinate
range declared during the construction of ``chart_domain`` is
considered (with ``-Infinity`` replaced by ``-max_value`` and
``+Infinity`` by ``max_value``)
- ``max_value`` -- (default: 8) numerical value substituted to
``+Infinity`` if the latter is the upper bound of the range of a
coordinate for which the plot is performed over the entire coordinate
range (i.e. for which no specific plot range has been set in
``ranges``); similarly ``-max_value`` is the numerical valued
substituted for ``-Infinity``
- ``nb_values`` -- (default: ``None``) either an integer or a dictionary
with keys the coordinates of ``chart_domain`` to be used and values
the number of values of the coordinate for sampling
the part of the vector field's domain involved in the plot ; if
``nb_values`` is a single integer, it represents the number of
values for all coordinates; if ``nb_values`` is ``None``, it is set
to 9 for a 2D plot and to 5 for a 3D plot
- ``steps`` -- (default: ``None``) dictionary with keys the coordinates
of ``chart_domain`` to be used and values the step between each
constant value of the coordinate; if ``None``, the step is computed
from the coordinate range (specified in ``ranges``) and ``nb_values``.
On the contrary, if the step is provided for some coordinate, the
corresponding number of values is deduced from it and the coordinate
range.
- ``scale`` -- (default: 1) value by which the lengths of the arrows
representing the vectors is multiplied
- ``color`` -- (default: 'blue') color of the arrows representing the
vectors
- ``parameters`` -- (default: ``None``) dictionary giving the numerical
values of the parameters that may appear in the coordinate expression
of the vector field (see example below)
- ``label_axes`` -- (default: ``True``) boolean determining whether the
labels of the coordinate axes of ``chart`` shall be added to the
graph; can be set to ``False`` if the graph is 3D and must be
superposed with another graph.
- ``**extra_options`` -- extra options for the arrow plot, like
``linestyle``, ``width`` or ``arrowsize`` (see
:func:`~sage.plot.arrow.arrow2d` and
:func:`~sage.plot.plot3d.shapes.arrow3d` for details)
OUTPUT:
- a graphic object, either an instance of
:class:`~sage.plot.graphics.Graphics` for a 2D plot (i.e. based on
2 coordinates of ``chart``) or an instance of
:class:`~sage.plot.plot3d.base.Graphics3d` for a 3D plot (i.e.
based on 3 coordinates of ``chart``)
EXAMPLES:
Plot of a vector field on a 2-dimensional manifold::
sage: Manifold._clear_cache_() # for doctests only
sage: M = Manifold(2, 'M')
sage: X.<x,y> = M.chart()
sage: v = M.vector_field(name='v')
sage: v[:] = -y, x ; v.display()
v = -y d/dx + x d/dy
sage: v.plot()
Graphics object consisting of 80 graphics primitives
Plot with various options::
sage: v.plot(scale=0.5, color='green', linestyle='--', width=1, arrowsize=6)
Graphics object consisting of 80 graphics primitives
sage: v.plot(max_value=4, nb_values=5, scale=0.5)
Graphics object consisting of 24 graphics primitives
Plots along a line of fixed coordinate::
sage: v.plot(fixed_coords={x: -2})
Graphics object consisting of 9 graphics primitives
sage: v.plot(fixed_coords={y: 1})
Graphics object consisting of 9 graphics primitives
Let us now consider a vector field on a 4-dimensional manifold::
sage: Manifold._clear_cache_() # for doctests only
sage: M = Manifold(4, 'M')
sage: X.<t,x,y,z> = M.chart()
sage: v = M.vector_field(name='v')
sage: v[:] = (t/8)^2, -t*y/4, t*x/4, t*z/4 ; v.display()
v = 1/64*t^2 d/dt - 1/4*t*y d/dx + 1/4*t*x d/dy + 1/4*t*z d/dz
We cannot make a 4D plot directly::
sage: v.plot()
Traceback (most recent call last):
...
ValueError: the number of ambient coordinates must be either 2 or 3, not 4
Rather, we have to select some coordinates for the plot, via
the argument ``ambient_coords``. For instance, for a 3D plot::
sage: v.plot(ambient_coords=(x, y, z), fixed_coords={t: 1})
Graphics3d Object
sage: v.plot(ambient_coords=(x, y, t), fixed_coords={z: 0},
....: ranges={x: (-2,2), y: (-2,2), t: (-1, 4)}, nb_values=4)
Graphics3d Object
or, for a 2D plot::
sage: v.plot(ambient_coords=(x, y), fixed_coords={t: 1, z: 0})
Graphics object consisting of 80 graphics primitives
sage: v.plot(ambient_coords=(x, t), fixed_coords={y: 1, z: 0})
Graphics object consisting of 72 graphics primitives
An example of plot via a differential mapping: plot of a vector field
tangent to a 2-sphere viewed in `\RR^3`::
sage: S2 = Manifold(2, 'S^2')
sage: U = S2.open_subset('U') # the open set covered by spherical coord.
sage: XS.<th,ph> = U.chart(r'th:(0,pi):\theta ph:(0,2*pi):\phi')
sage: R3 = Manifold(3, 'R^3')
sage: X3.<x,y,z> = R3.chart()
sage: F = S2.diff_mapping(R3, {(XS, X3): [sin(th)*cos(ph),
....: sin(th)*sin(ph), cos(th)]}, name='F')
sage: F.display() # the standard embedding of S^2 into R^3
F: S^2 --> R^3
on U: (th, ph) |--> (x, y, z) = (cos(ph)*sin(th), sin(ph)*sin(th), cos(th))
sage: v = XS.frame()[1] ; v
vector field 'd/dph' on the open subset 'U' of the 2-dimensional manifold 'S^2'
sage: graph_v = v.plot(chart=X3, mapping=F, label_axes=False)
sage: graph_S2 = XS.plot(chart=X3, mapping=F, nb_values=9)
sage: show(graph_v + graph_S2)
"""
from sage.rings.infinity import Infinity
from sage.misc.functional import numerical_approx
from sage.misc.latex import latex
from sage.plot.graphics import Graphics
from sage.geometry.manifolds.chart import Chart
from sage.geometry.manifolds.utilities import set_axes_labels
#
# 1/ Treatment of input parameters
# -----------------------------
if chart is None:
chart = self._domain.default_chart()
elif not isinstance(chart, Chart):
raise TypeError("{} is not a chart".format(chart))
if chart_domain is None:
chart_domain = self._domain.default_chart()
elif not isinstance(chart_domain, Chart):
raise TypeError("{} is not a chart".format(chart_domain))
elif not chart_domain.domain().is_subset(self._domain):
raise ValueError("The domain of {} is not ".format(chart_domain) +
"included in the domain of {}".format(self))
if fixed_coords is None:
coords = chart_domain._xx
else:
fixed_coord_list = fixed_coords.keys()
coords = []
for coord in chart_domain._xx:
if coord not in fixed_coord_list:
coords.append(coord)
coords = tuple(coords)
if ambient_coords is None:
ambient_coords = chart[:]
elif not isinstance(ambient_coords, tuple):
ambient_coords = tuple(ambient_coords)
nca = len(ambient_coords)
if nca != 2 and nca != 3:
raise ValueError("the number of ambient coordinates must be " +
"either 2 or 3, not {}".format(nca))
if ranges is None:
ranges = {}
ranges0 = {}
for coord in coords:
if coord in ranges:
ranges0[coord] = (numerical_approx(ranges[coord][0]),
numerical_approx(ranges[coord][1]))
else:
bounds = chart_domain._bounds[chart_domain[:].index(coord)]
if bounds[0][0] == -Infinity:
xmin = numerical_approx(-max_value)
elif bounds[0][1]:
xmin = numerical_approx(bounds[0][0])
else:
xmin = numerical_approx(bounds[0][0] + 1.e-3)
if bounds[1][0] == Infinity:
xmax = numerical_approx(max_value)
elif bounds[1][1]:
xmax = numerical_approx(bounds[1][0])
else:
xmax = numerical_approx(bounds[1][0] - 1.e-3)
ranges0[coord] = (xmin, xmax)
ranges = ranges0
if nb_values is None:
if nca == 2: # 2D plot
nb_values = 9
else: # 3D plot
nb_values = 5
if not isinstance(nb_values, dict):
nb_values0 = {}
for coord in coords:
nb_values0[coord] = nb_values
nb_values = nb_values0
if steps is None:
steps = {}
for coord in coords:
if coord not in steps:
steps[coord] = (ranges[coord][1] - ranges[coord][0])/ \
(nb_values[coord]-1)
else:
nb_values[coord] = 1 + int(
(ranges[coord][1] - ranges[coord][0]) / steps[coord])
#
# 2/ Plots
# -----
dom = chart_domain.domain()
nc = len(chart_domain[:])
ncp = len(coords)
xx = [0] * nc
if fixed_coords is not None:
if len(fixed_coords) != nc - ncp:
raise ValueError("Bad number of fixed coordinates.")
for fc, val in fixed_coords.iteritems():
xx[chart_domain[:].index(fc)] = val
index_p = [chart_domain[:].index(cd) for cd in coords]
resu = Graphics()
ind = [0] * ncp
ind_max = [0] * ncp
ind_max[0] = nb_values[coords[0]]
xmin = [ranges[cd][0] for cd in coords]
step_tab = [steps[cd] for cd in coords]
while ind != ind_max:
for i in range(ncp):
xx[index_p[i]] = xmin[i] + ind[i] * step_tab[i]
if chart_domain.valid_coordinates(*xx,
tolerance=1e-13,
parameters=parameters):
point = dom(xx, chart=chart_domain)
resu += self.at(point).plot(chart=chart,
ambient_coords=ambient_coords,
mapping=mapping,
scale=scale,
color=color,
print_label=False,
parameters=parameters,
**extra_options)
# Next index:
ret = 1
for pos in range(ncp - 1, -1, -1):
imax = nb_values[coords[pos]] - 1
if ind[pos] != imax:
ind[pos] += ret
ret = 0
elif ret == 1:
if pos == 0:
ind[pos] = imax + 1 # end point reached
else:
ind[pos] = 0
ret = 1
if label_axes:
if nca == 2: # 2D graphic
# We update the dictionary _extra_kwds (options to be passed
# to show()), instead of using the method
# Graphics.axes_labels() since the latter is not robust w.r.t.
# graph addition
resu._extra_kwds['axes_labels'] = [
r'$' + latex(ac) + r'$' for ac in ambient_coords
]
else: # 3D graphic
labels = [str(ac) for ac in ambient_coords]
resu = set_axes_labels(resu, *labels)
return resu
def plot(self, **kwds):
r"""
Plot the initial triangulation associated to ``self``.
INPUT:
- ``radius`` - the radius of the disk; by default the length of
the circle is the number of vertices
- ``points_color`` - the color of the vertices; default 'black'
- ``points_size`` - the size of the vertices; default 7
- ``triangulation_color`` - the color of the arcs; default 'black'
- ``triangulation_thickness`` - the thickness of the arcs; default 0.5
- ``shading_color`` - the color of the shading used on neuter
intervals; default 'lightgray'
- ``reflections_color`` - the color of the reflection axes; default
'blue'
- ``reflections_thickness`` - the thickness of the reflection axes;
default 1
EXAMPLES::
sage: Y = SineGordonYsystem('A',(6,4,3))
sage: Y.plot() # long time 2s
Graphics object consisting of 219 graphics primitives
"""
# Set up plotting options
if 'radius' in kwds:
radius = kwds['radius']
else:
radius = ceil(self.r() / (2 * pi))
points_opts = {}
if 'points_color' in kwds:
points_opts['color'] = kwds['points_color']
else:
points_opts['color'] = 'black'
if 'points_size' in kwds:
points_opts['size'] = kwds['points_size']
else:
points_opts['size'] = 7
triangulation_opts = {}
if 'triangulation_color' in kwds:
triangulation_opts['color'] = kwds['triangulation_color']
else:
triangulation_opts['color'] = 'black'
if 'triangulation_thickness' in kwds:
triangulation_opts['thickness'] = kwds['triangulation_thickness']
else:
triangulation_opts['thickness'] = 0.5
shading_opts = {}
if 'shading_color' in kwds:
shading_opts['color'] = kwds['shading_color']
else:
shading_opts['color'] = 'lightgray'
reflections_opts = {}
if 'reflections_color' in kwds:
reflections_opts['color'] = kwds['reflections_color']
else:
reflections_opts['color'] = 'blue'
if 'reflections_thickness' in kwds:
reflections_opts['thickness'] = kwds['reflections_thickness']
else:
reflections_opts['thickness'] = 1
# Helper functions
def triangle(x):
(a, b) = sorted(x[:2])
for p in self.vertices():
if (p, a) in self.triangulation() or (a, p) in self.triangulation():
if (p, b) in self.triangulation() or (b, p) in self.triangulation():
if p < a or p > b:
return sorted((a, b, p))
def plot_arc(radius, p, q, **opts):
# TODO: THIS SHOULD USE THE EXISTING PLOT OF ARCS!
# plot the arc from p to q differently depending on the type of self
p = ZZ(p)
q = ZZ(q)
t = var('t')
if p - q in [1, -1]:
def f(t):
return (radius * cos(t), radius * sin(t))
(p, q) = sorted([p, q])
angle_p = vertex_to_angle(p)
angle_q = vertex_to_angle(q)
return parametric_plot(f(t), (t, angle_q, angle_p), **opts)
if self.type() == 'A':
angle_p = vertex_to_angle(p)
angle_q = vertex_to_angle(q)
if angle_p < angle_q:
angle_p += 2 * pi
internal_angle = angle_p - angle_q
if internal_angle > pi:
(angle_p, angle_q) = (angle_q + 2 * pi, angle_p)
internal_angle = angle_p - angle_q
angle_center = (angle_p+angle_q) / 2
hypotenuse = radius / cos(internal_angle / 2)
radius_arc = hypotenuse * sin(internal_angle / 2)
center = (hypotenuse * cos(angle_center),
hypotenuse * sin(angle_center))
center_angle_p = angle_p + pi / 2
center_angle_q = angle_q + 3 * pi / 2
def f(t):
return (radius_arc * cos(t) + center[0],
radius_arc * sin(t) + center[1])
return parametric_plot(f(t), (t, center_angle_p,
center_angle_q), **opts)
elif self.type() == 'D':
if p >= q:
q += self.r()
px = -2 * pi * p / self.r() + pi / 2
qx = -2 * pi * q / self.r() + pi / 2
arc_radius = (px - qx) / 2
arc_center = qx + arc_radius
def f(t):
return exp(I * ((cos(t) + I * sin(t)) *
arc_radius + arc_center)) * radius
return parametric_plot((real_part(f(t)), imag_part(f(t))),
(t, 0, pi), **opts)
def vertex_to_angle(v):
# v==0 corresponds to pi/2
return -2 * pi * RR(v) / self.r() + 5 * pi / 2
# Begin plotting
P = Graphics()
# Shade neuter intervals
neuter_intervals = [x for x in flatten(self.intervals()[:-1],
max_level=1)
if x[2] in ["NR", "NL"]]
shaded_triangles = map(triangle, neuter_intervals)
for (p, q, r) in shaded_triangles:
points = list(plot_arc(radius, p, q)[0])
points += list(plot_arc(radius, q, r)[0])
points += list(reversed(plot_arc(radius, p, r)[0]))
P += polygon2d(points, **shading_opts)
# Disk boundary
P += circle((0, 0), radius, **triangulation_opts)
# Triangulation
for (p, q) in self.triangulation():
P += plot_arc(radius, p, q, **triangulation_opts)
if self.type() == 'D':
s = radius / 50.0
P += polygon2d([(s, 5 * s), (s, 7 * s),
(3 * s, 5 * s), (3 * s, 7 * s)],
color=triangulation_opts['color'])
P += bezier_path([[(0, 0), (2 * s, 1 * s), (2 * s, 6 * s)],
[(2 * s, 10 * s), (s, 20 * s)],
[(0, 30 * s), (0, radius)]],
**triangulation_opts)
P += bezier_path([[(0, 0), (-2 * s, 1 * s), (-2 * s, 6 * s)],
[(-2 * s, 10 * s), (-s, 20 * s)],
[(0, 30 * s), (0, radius)]],
**triangulation_opts)
P += point((0, 0), zorder=len(P), **points_opts)
# Vertices
v_points = {x: (radius * cos(vertex_to_angle(x)),
radius * sin(vertex_to_angle(x)))
for x in self.vertices()}
for v in v_points:
P += point(v_points[v], zorder=len(P), **points_opts)
# Reflection axes
P += line([(0, 1.1 * radius), (0, -1.1 * radius)],
zorder=len(P), **reflections_opts)
axis_angle = vertex_to_angle(-0.5 * (self.rk() + (1, 1))[1])
(a, b) = (1.1 * radius * cos(axis_angle),
1.1 * radius * sin(axis_angle))
P += line([(a, b), (-a, -b)], zorder=len(P), **reflections_opts)
# Wrap up
P.set_aspect_ratio(1)
P.axes(False)
return P
def plot(self,
chart=None,
ambient_coords=None,
mapping=None,
prange=None,
include_end_point=(True, True),
end_point_offset=(0.001, 0.001),
parameters=None,
color='red',
style='-',
label_axes=True,
**kwds):
r"""
Plot the current curve in a Cartesian graph based on the
coordinates of some ambient chart.
The curve is drawn in terms of two (2D graphics) or three (3D graphics)
coordinates of a given chart, called hereafter the *ambient chart*.
The ambient chart's domain must overlap with the curve's codomain or
with the codomain of the composite curve `\Phi\circ c`, where `c` is
the current curve and `\Phi` some manifold differential map (argument
``mapping`` below).
INPUT:
- ``chart`` -- (default: ``None``) the ambient chart (see above);
if ``None``, the default chart of the codomain of the curve (or of
the curve composed with `\Phi`) is used
- ``ambient_coords`` -- (default: ``None``) tuple containing the 2
or 3 coordinates of the ambient chart in terms of which the plot
is performed; if ``None``, all the coordinates of the ambient chart
are considered
- ``mapping`` -- (default: ``None``) differentiable mapping `\Phi`
(instance of
:class:`~sage.manifolds.differentiable.diff_map.DiffMap`)
providing the link between the curve and the ambient chart ``chart``
(cf. above); if ``None``, the ambient chart is supposed to be defined
on the codomain of the curve.
- ``prange`` -- (default: ``None``) range of the curve parameter for
the plot; if ``None``, the entire parameter range declared during the
curve construction is considered (with -Infinity
replaced by ``-max_range`` and +Infinity by ``max_range``)
- ``include_end_point`` -- (default: ``(True, True)``) determines
whether the end points of ``prange`` are included in the plot
- ``end_point_offset`` -- (default: ``(0.001, 0.001)``) offsets from
the end points when they are not included in the plot: if
``include_end_point[0] == False``, the minimal value of the curve
parameter used for the plot is ``prange[0] + end_point_offset[0]``,
while if ``include_end_point[1] == False``, the maximal value is
``prange[1] - end_point_offset[1]``.
- ``max_range`` -- (default: 8) numerical value substituted to
+Infinity if the latter is the upper bound of the parameter range;
similarly ``-max_range`` is the numerical valued substituted for
-Infinity
- ``parameters`` -- (default: ``None``) dictionary giving the numerical
values of the parameters that may appear in the coordinate expression
of the curve
- ``color`` -- (default: 'red') color of the drawn curve
- ``style`` -- (default: '-') color of the drawn curve; NB: ``style``
is effective only for 2D plots
- ``thickness`` -- (default: 1) thickness of the drawn curve
- ``plot_points`` -- (default: 75) number of points to plot the curve
- ``label_axes`` -- (default: ``True``) boolean determining whether the
labels of the coordinate axes of ``chart`` shall be added to the
graph; can be set to ``False`` if the graph is 3D and must be
superposed with another graph.
- ``aspect_ratio`` -- (default: ``'automatic'``) aspect ratio of the
plot; the default value (``'automatic'``) applies only for 2D plots;
for 3D plots, the default value is ``1`` instead
OUTPUT:
- a graphic object, either an instance of
:class:`~sage.plot.graphics.Graphics` for a 2D plot (i.e. based on
2 coordinates of ``chart``) or an instance of
:class:`~sage.plot.plot3d.base.Graphics3d` for a 3D plot (i.e.
based on 3 coordinates of ``chart``)
EXAMPLES:
Plot of the lemniscate of Gerono::
sage: R2 = Manifold(2, 'R^2')
sage: X.<x,y> = R2.chart()
sage: R.<t> = RealLine()
sage: c = R2.curve([sin(t), sin(2*t)/2], (t, 0, 2*pi), name='c')
sage: c.plot() # 2D plot
Graphics object consisting of 1 graphics primitive
.. PLOT::
R2 = Manifold(2, 'R^2')
X = R2.chart('x y')
t = RealLine().canonical_coordinate()
c = R2.curve([sin(t), sin(2*t)/2], (t, 0, 2*pi), name='c')
g = c.plot()
sphinx_plot(g)
Plot for a subinterval of the curve's domain::
sage: c.plot(prange=(0,pi))
Graphics object consisting of 1 graphics primitive
.. PLOT::
R2 = Manifold(2, 'R^2')
X = R2.chart('x y')
t = RealLine().canonical_coordinate()
c = R2.curve([sin(t), sin(2*t)/2], (t, 0, 2*pi), name='c')
g = c.plot(prange=(0,pi))
sphinx_plot(g)
Plot with various options::
sage: c.plot(color='green', style=':', thickness=3, aspect_ratio=1)
Graphics object consisting of 1 graphics primitive
.. PLOT::
R2 = Manifold(2, 'R^2')
X = R2.chart('x y')
t = RealLine().canonical_coordinate()
c = R2.curve([sin(t), sin(2*t)/2], (t, 0, 2*pi), name='c')
g = c.plot(color='green', style=':', thickness=3, aspect_ratio=1)
sphinx_plot(g)
Plot via a mapping to another manifold: loxodrome of a sphere viewed
in `\RR^3`::
sage: S2 = Manifold(2, 'S^2')
sage: U = S2.open_subset('U')
sage: XS.<th,ph> = U.chart(r'th:(0,pi):\theta ph:(0,2*pi):\phi')
sage: R3 = Manifold(3, 'R^3')
sage: X3.<x,y,z> = R3.chart()
sage: F = S2.diff_map(R3, {(XS, X3): [sin(th)*cos(ph),
....: sin(th)*sin(ph), cos(th)]}, name='F')
sage: F.display()
F: S^2 --> R^3
on U: (th, ph) |--> (x, y, z) = (cos(ph)*sin(th), sin(ph)*sin(th), cos(th))
sage: c = S2.curve([2*atan(exp(-t/10)), t], (t, -oo, +oo), name='c')
sage: graph_c = c.plot(mapping=F, max_range=40,
....: plot_points=200, thickness=2, label_axes=False) # 3D plot
sage: graph_S2 = XS.plot(X3, mapping=F, number_values=11, color='black') # plot of the sphere
sage: show(graph_c + graph_S2) # the loxodrome + the sphere
.. PLOT::
S2 = Manifold(2, 'S^2')
U = S2.open_subset('U')
XS = U.chart(r'th:(0,pi):\theta ph:(0,2*pi):\phi')
th, ph = XS[:]
R3 = Manifold(3, 'R^3')
X3 = R3.chart('x y z')
F = S2.diff_map(R3, {(XS, X3): [sin(th)*cos(ph), sin(th)*sin(ph),
cos(th)]}, name='F')
t = RealLine().canonical_coordinate()
c = S2.curve([2*atan(exp(-t/10)), t], (t, -oo, +oo), name='c')
graph_c = c.plot(mapping=F, max_range=40, plot_points=200,
thickness=2, label_axes=False)
graph_S2 = XS.plot(X3, mapping=F, number_values=11, color='black')
sphinx_plot(graph_c + graph_S2)
Example of use of the argument ``parameters``: we define a curve with
some symbolic parameters ``a`` and ``b``::
sage: a, b = var('a b')
sage: c = R2.curve([a*cos(t) + b, a*sin(t)], (t, 0, 2*pi), name='c')
To make a plot, we set spectific values for ``a`` and ``b`` by means
of the Python dictionary ``parameters``::
sage: c.plot(parameters={a: 2, b: -3}, aspect_ratio=1)
Graphics object consisting of 1 graphics primitive
.. PLOT::
R2 = Manifold(2, 'R^2')
X = R2.chart('x y')
t = RealLine().canonical_coordinate()
a, b = var('a b')
c = R2.curve([a*cos(t) + b, a*sin(t)], (t, 0, 2*pi), name='c')
g = c.plot(parameters={a: 2, b: -3}, aspect_ratio=1)
sphinx_plot(g)
"""
from sage.rings.infinity import Infinity
from sage.misc.functional import numerical_approx
from sage.plot.graphics import Graphics
from sage.plot.line import line
from sage.manifolds.chart import RealChart
from sage.manifolds.utilities import set_axes_labels
#
# Get the @options from kwds
#
thickness = kwds.pop('thickness')
plot_points = kwds.pop('plot_points')
max_range = kwds.pop('max_range')
aspect_ratio = kwds.pop('aspect_ratio')
#
# The "effective" curve to be plotted
#
if mapping is None:
eff_curve = self
else:
eff_curve = mapping.restrict(self.codomain()) * self
#
# The chart w.r.t. which the curve is plotted
#
if chart is None:
chart = eff_curve._codomain.default_chart()
elif not isinstance(chart, RealChart):
raise TypeError("{} is not a real chart".format(chart))
#
# Coordinates of the above chart w.r.t. which the curve is plotted
#
if ambient_coords is None:
ambient_coords = chart[:] # all chart coordinates are used
n_pc = len(ambient_coords)
if n_pc != 2 and n_pc != 3:
raise ValueError("the number of coordinates involved in the " +
"plot must be either 2 or 3, not {}".format(n_pc))
# indices of plot coordinates
ind_pc = [chart[:].index(pc) for pc in ambient_coords]
#
# Parameter range for the plot
#
if prange is None:
prange = (self._domain.lower_bound(), self._domain.upper_bound())
elif not isinstance(prange, (tuple, list)):
raise TypeError("{} is neither a tuple nor a list".format(prange))
elif len(prange) != 2:
raise ValueError("the argument prange must be a tuple/list " +
"of 2 elements")
tmin = prange[0]
tmax = prange[1]
if tmin == -Infinity:
tmin = -max_range
elif not include_end_point[0]:
tmin = tmin + end_point_offset[0]
if tmax == Infinity:
tmax = max_range
elif not include_end_point[1]:
tmax = tmax - end_point_offset[1]
tmin = numerical_approx(tmin)
tmax = numerical_approx(tmax)
#
# The coordinate expression of the effective curve
#
canon_chart = self._domain.canonical_chart()
transf = None
for chart_pair in eff_curve._coord_expression:
if chart_pair == (canon_chart, chart):
transf = eff_curve._coord_expression[chart_pair]
break
else:
# Search for a subchart
for chart_pair in eff_curve._coord_expression:
for schart in chart._subcharts:
if chart_pair == (canon_chart, schart):
transf = eff_curve._coord_expression[chart_pair]
if transf is None:
raise ValueError("No expression has been found for " +
"{} in terms of {}".format(self, chart))
#
# List of points for the plot curve
#
plot_curve = []
dt = (tmax - tmin) / (plot_points - 1)
t = tmin
if parameters is None:
for i in range(plot_points):
x = transf(t, simplify=False)
plot_curve.append([numerical_approx(x[j]) for j in ind_pc])
t += dt
else:
for i in range(plot_points):
x = transf(t, simplify=False)
plot_curve.append([
numerical_approx(x[j].substitute(parameters))
for j in ind_pc
])
t += dt
#
# The plot
#
resu = Graphics()
resu += line(plot_curve,
color=color,
linestyle=style,
thickness=thickness)
if n_pc == 2: # 2D graphic
resu.set_aspect_ratio(aspect_ratio)
if label_axes:
# We update the dictionary _extra_kwds (options to be passed
# to show()), instead of using the method
# Graphics.axes_labels() since the latter is not robust w.r.t.
# graph addition
resu._extra_kwds['axes_labels'] = [
r'$' + latex(pc) + r'$' for pc in ambient_coords
]
else: # 3D graphic
if aspect_ratio == 'automatic':
aspect_ratio = 1
resu.aspect_ratio(aspect_ratio)
if label_axes:
labels = [str(pc) for pc in ambient_coords]
resu = set_axes_labels(resu, *labels)
return resu
def plot(self,radius=1, orientation=1, cyclic_order_0=None, cyclic_order_1=None,verbose=False):
"""Plot the set of ideal curves on the surface S=S(g,1) of genus g with
one puncture.
The free group has rank N=2g, the trees T0 and T1 are roses
transverse to a maximal set of ideal curves on S. The convex
core is transverse to the two collections of curves: vertices
are connected components of the complement of the union of the
two sets of curves, edges are arcs separating two regions and
squares are around intersections points of curves.
For instance T0 can be set to be the rose with the trivial
marking, while T1 is obtained from T0 by applying a mapping
class (and not a general automorphism). The embedding of the
mapping class group is that generated by the
``surface_dehn_twist()`` method of the ``FreeGroup`` class.
The set of ideal curves of T0 is drawn as the boundary of a
regular 2N-gone, and the set of ideal curves of T1 is drawn
inside this 2N-gone.
INPUT:
- ``radius``: (default 1) the radius of the regular 2N-gone
which is the fondamental domain of the surface.
-``cyclic_order_0``: (default None) List of edges outgoing
from the sole vertex of T0 ordered according to the embedding
in the surface. A typical value in rank 4, compatible with
the definition of ``FreeGroup.surface_dehn_twist()`` is :
['A','B','a','C','D','c','d','b']
-``cyclic_order_1``: (default None) List of edges outgoing
from the sole vertex of T1 ordered according to the embedding
in the surface.
EXAMPLES::
sage: F=FreeGroup(4)
sage: phi=mul([F.surface_dehn_twist(i) for i in [2,1,1,4]])
sage: C=ConvexCore(phi)
sage: C.plot_ideal_curve_diagram(cyclic_order_0=['A','B','a','C','D','c','d','b'])
"""
from sage.plot.graphics import Graphics
from sage.plot.line import Line
from sage.plot.arrow import Arrow
T0=self.tree(0)
T1=self.tree(1)
A0=T0.alphabet()
N=len(A0)
A1=T1.alphabet()
# Let ``self`` be the convex core of trees T0 and T1. T0 and
# T1 need to be roses. The trees T0 and T1 may be given as
# embedded inside the surface. In this case the edges outgoing
# from the sole vertex are cyclically ordered.
if len(T0.vertices())!=1:
raise ValueError('The tree on side 0 must be a rose')
if len(T1.vertices())!=1:
raise ValueError('The tree on side 1 must be a rose')
if cyclic_order_0 is None:
cyclic_order_0=getattr(T0,'cyclic_order',None)
if cyclic_order_1 is None:
cyclic_order_1=getattr(T1,'cyclic_order',None)
if verbose:
if cyclic_order_0 is not None:
print "The tree on side 0 is embedded in the surface:",cyclic_order_0
else:
print "The tree on side 0 is not embedded in the surface, we will try to guess an embedding"
if cyclic_order_1 is not None:
print "The tree on side 1 is embedded in the surface:",cyclic_order_1
else:
print "The tree on side 1 is not embedded in the surface, we will try to guess an embedding"
squares=self.squares()
# Coherent orientation of the squares
orientation=self.squares_orientation(orientation=orientation,verbose=verbose and verbose>1 and verbose-1)
if verbose:
print "Orientation of the squares:"
if verbose>1:
for i,sq in enumerate(squares):
print i,":",sq,":",orientation[i]
boundary=self.surface_boundary(orientation=orientation,verbose=verbose and verbose>1 and verbose-1)
if verbose:
print "Edges of the boundary:"
print boundary
# The boundary of the surface is an Eulerian circuit in the surface_boundary_graph
eulerian_circuits=[]
boundary_length=2*(self.tree(side=0).alphabet().cardinality()+self.tree(side=1).alphabet().cardinality())
next=[(boundary[0],0)]
if boundary[0][2][2]!=0:
next.append((boundary[1],0))
if verbose:
print "Looking for an eulerian circuit in the boundary"
while len(next)>0:
e,current=next.pop()
if verbose:
print e,current
for i in xrange(current+1,len(boundary)):
if boundary[i]==e:
boundary[i],boundary[current]=boundary[current],boundary[i]
# now the boundary is the beginning of an eulerian
# circuit up to current
break
# We check that the boundary up to current is acceptable
acceptable=True
# First, we check that two edges bounding a strongly
# connected component of squares share the same
# orientation
oriented=set()
for i in xrange(current+1):
e=boundary[i]
if e[2][2]!=0 and -e[2][2] in oriented: # edges with orientation 0 are isolated edges
acceptable=False
if verbose:
print "The current boundary does not respect orientation",e[2][2]
break
else:
oriented.add(e[2][2])
if not acceptable:
continue
# Next we check that this is compatible with the given
# cyclic order
if cyclic_order_0 is not None:
i=0
j0=None
while i<current+1 and boundary[i][2][1]!=0:
i+=1
if i<current+1:
j0=0
while j0<len(cyclic_order_0) and cyclic_order_0[j0]!=boundary[i][2][0]:
j0+=1
while i<current:
i+=1
while i<current+1 and boundary[i][2][1]!=0:
i+=1
if i<current+1:
j0+=1
if j0==len(cyclic_order_0):
j0=0
if boundary[i][2][0]!=cyclic_order_0[j0]:
acceptable=False
if verbose:
print "The current boundary does not respect the given cyclic order on side 0"
break
if not acceptable:
continue
if cyclic_order_1 is not None:
i=0
j1=None
while i<current+1 and boundary[i][2][1]!=1:
i+=1
if i<current+1:
j1=0
while j1<len(cyclic_order_1) and cyclic_order_1[j1]!=boundary[i][2][0]:
j1+=1
while i<current:
i+=1
while i<current+1 and boundary[i][2][1]!=1:
i+=1
if i<current+1:
j1+=1
if j1==len(cyclic_order_1):
j1=0
if boundary[i][2][0]!=cyclic_order_1[j1]:
acceptable=False
if verbose:
print "The current boundary does not respect the given cyclic order on side 1"
break
if not acceptable:
continue
# If there are no given cyclic orders we check that on
# both side there is only one connected component.
if (cyclic_order_0 is None) and (cyclic_order_1 is None):
tmp_cyclic_0=[boundary[i][2][0] for i in xrange(current+1) if boundary[i][2][1]==0]
i=0
if len(tmp_cyclic_0)<2*len(A0):
while i<len(tmp_cyclic_0):
j=i
done=False
while True:
aa=A0.inverse_letter(tmp_cyclic_0[j])
j=0
while j<len(tmp_cyclic_0) and tmp_cyclic_0[j]!=aa:
j+=1
if j==len(tmp_cyclic_0) or j==0:
i+=1
break
j-=1
if i==j:
acceptable=False
if verbose:
print "There is more than one boundary component on side 0"
print "Cyclic order on side 0:",tmp_cyclic_0
i=len(tmp_cyclic_0)
break
if not acceptable:
continue
tmp_cyclic_1=[boundary[i][2][0] for i in xrange(current+1) if boundary[i][2][1]==1]
i=0
if len(tmp_cyclic_1)<2*len(A1):
while i<len(tmp_cyclic_1):
j=i
done=False
while True:
aa=A1.inverse_letter(tmp_cyclic_1[j])
j=0
while j<len(tmp_cyclic_1) and tmp_cyclic_1[j]!=aa:
j+=1
if j==len(tmp_cyclic_1) or j==0:
i+=1
break
j-=1
if i==j:
acceptable=False
if verbose:
print "There is more than one boundary component on side 1"
print "Cyclic order on side 1:",tmp_cyclic_1
i=len(tmp_cyclic_1)
break
if not acceptable:
continue
if current+1==boundary_length:
eulerian_circuits.append(boundary[:current+1])
for i in xrange(current+1,len(boundary)):
e=boundary[i]
if e[0]!=boundary[current][1] or (e[2][2]!=0 and -e[2][2] in oriented):
continue
if e[2][1]==0 and (cyclic_order_0 is not None) and (j0 is not None):
jj0=j0+1
if jj0==len(cyclic_order_0):
jj0=0
if e[2][0]!=cyclic_order_0[jj0]:
continue
elif e[2][1]==1 and (cyclic_order_1 is not None) and (j1 is not None):
jj1=j1+1
if jj1==len(cyclic_order_1):
jj1=0
if e[2][0]!=cyclic_order_1[jj1]:
continue
next.append((e,current+1))
if verbose:
print "Possible boundaries:",eulerian_circuits
if len(eulerian_circuits)>1:
print "There is an ambiguity on the choice of the boundary of the surface."
print "Specify using optionnal argument cyclic_order_0 and cyclic_order_1."
print "Possible choices:"
for cyclic_order in eulerian_circuits:
print "side 0:",[e[2][0] for e in cyclic_order if e[2][1]==0]
print "side 1:",[e[2][0] for e in cyclic_order if e[2][1]==1]
print "The first one is chosen"
elif len(eulerian_circuits)==0:
print "There are no eulerian circuit in the boundary compatible with the given cyclic orders."
print "Probably changing the orientation will solve this problem"
return False
cyclic_order=eulerian_circuits[0]
# Now we can fix the orientation of the squares according to
# the chosen boundary
direct_orientation=set(e[2][2] for e in cyclic_order if e[2][2]!=0)
for i in xrange(len(self.squares())):
if orientation[i] in direct_orientation:
orientation[i]=-1
else:
orientation[i]=1
if verbose:
print "Orientation of the squares coherent with the choice of the boundary"
print orientation
self._squares_orientation=orientation
# We put the edges in the fundamental domain
initial_vertex=dict()
terminal_vertex=dict()
for a in A0.positive_letters():
aa=A0.inverse_letter(a)
slicea=[i for i in xrange(len(squares)) if squares[i][4]==a]
size=len(slicea)+1
if size==1:
continue
# sort the edges of the slice
i=1
sqi=slicea[0]
sq=squares[sqi]
if orientation[sqi]==1:
start0=(sq[0],sq[1])
endi=(sq[3],sq[2])
else:
start0=(sq[3],sq[2])
endi=(sq[0],sq[1])
while i<len(slicea):
j=i
while j<len(slicea):
sqjj=slicea[j]
sqj=squares[sqjj]
if orientation[sqjj]==1:
startj=(sqj[0],sqj[1])
endj=(sqj[3],sqj[2])
else:
startj=(sqj[3],sqj[2])
endj=(sqj[0],sqj[1])
if endi==startj: # next(es[i-1])==es[j]:
slicea[j],slicea[i]=slicea[i],slicea[j]
i+=1
endi=endj
if i<j:
j=j-1
elif endj==start0: #next(es[j])==es[0]:
slicea=[slicea[j]]+slicea[:j]+slicea[j+1:]
i+=1
start0=startj
if i<j:
j=j-1
j+=1
if verbose:
print "Slice of", a,":",slicea
# put a curve for each edge of the slice
for i,sqi in enumerate(slicea):
sq=squares[sqi]
if orientation[sqi]==1:
initial_vertex[(sq[0],sq[3],sq[5])]=(a,(i+1.0)/size)
terminal_vertex[(sq[1],sq[2],sq[5])]=(aa,(size-i-1.0)/size)
else:
terminal_vertex[(sq[0],sq[3],sq[5])]=(a,(i+1.0)/size)
initial_vertex[(sq[1],sq[2],sq[5])]=(aa,(size-i-1.0)/size)
# We compute the regular 2N-gone that is the foundamental domain
# of the surface on side 0
i=0
while cyclic_order[i][2][1]==1:
i+=1
a=A0.inverse_letter(cyclic_order[i][2][0])
polygon_side_0=[a]
for j in xrange(2*N-1):
k=0
while cyclic_order[k][2][1]==1 or cyclic_order[k][2][0]!=a:
k+=1
k-=1
while cyclic_order[k][2][1]==1:
k-=1
if k==0:
k=boundary_length-1
a=A0.inverse_letter(cyclic_order[k][2][0])
polygon_side_0.append(a)
if verbose:
print "Polygon bounding the fundamental domain of the surface:",polygon_side_0
i=0
while polygon_side_0[i]!=A0[0]:
i+=1
polygon_side_0=polygon_side_0[i:]+polygon_side_0[:i]
g=Graphics()
boundary_initial_vertex=dict()
boundary_terminal_vertex=dict()
for i,a in enumerate(polygon_side_0):
boundary_initial_vertex[a]=(RR(radius*cos(i*pi/N)),RR(radius*sin(i*pi/N)))
boundary_terminal_vertex[a]=(RR(radius*cos((i+1)*pi/N)),RR(radius*sin((i+1)*pi/N)))
# Regular polygon
text_decalage=1.05
for a in polygon_side_0:
x,y=boundary_initial_vertex[a]
xx,yy=boundary_terminal_vertex[a]
g+=line([(x,y),(xx,yy)],alpha=1,thickness=2,hue=5.0/6)
g+=text(a,((x+xx)/2*text_decalage**2,(y+yy)/2*text_decalage**2),hue=5.0/6)
for e in initial_vertex:
a,p=initial_vertex[e]
b=e[2]
x=boundary_initial_vertex[a][0]+p*(boundary_terminal_vertex[a][0]-boundary_initial_vertex[a][0])
y=boundary_initial_vertex[a][1]+p*(boundary_terminal_vertex[a][1]-boundary_initial_vertex[a][1])
if e in terminal_vertex:
aa,pp=terminal_vertex[e]
else: # the end of e is at the singularity
i=0
j=0
while cyclic_order[i][2][1]==0 or cyclic_order[i][2][0]!=b:
if cyclic_order[i][2][1]==0:
j=i
i+=1
if j==0 and cyclic_order[j][2][1]==1:
j=len(cyclic_order)-1
while cyclic_order[j][2][1]==1:
j-=1
aa=A0.inverse_letter(cyclic_order[j][2][0])
pp=0
xx=boundary_initial_vertex[aa][0]+pp*(boundary_terminal_vertex[aa][0]-boundary_initial_vertex[aa][0])
yy=boundary_initial_vertex[aa][1]+pp*(boundary_terminal_vertex[aa][1]-boundary_initial_vertex[aa][1])
g+=line([(x,y),(xx,yy)],alpha=1,thickness=2,hue=RR(A1.rank(b))/N)
for e in terminal_vertex:
if e not in initial_vertex: # the initial vertex of e is the singularity
aa,pp=terminal_vertex[e]
xx=boundary_initial_vertex[aa][0]+pp*(boundary_terminal_vertex[aa][0]-boundary_initial_vertex[aa][0])
yy=boundary_initial_vertex[aa][1]+pp*(boundary_terminal_vertex[aa][1]-boundary_initial_vertex[aa][1])
b=A1.inverse_letter(e[2][0])
i=0
j=0
while cyclic_order[i][2][1]==0 or cyclic_order[i][2][0]!=b:
if cyclic_order[i][2][1]==0:
j=i
i+=1
if j==0 and cyclic_order[j][2][1]==1:
j=len(cyclic_order)-1
while cyclic_order[j][2][1]==1:
j-=1
a=A0.inverse_letter(cyclic_order[j][2][0])
x=boundary_initial_vertex[a][0]
y=boundary_initial_vertex[a][1]
g+=line([(x,y),(xx,yy)],alpha=1,thickness=2,hue=RR(A1.rank(b))/N)
g+=text(e[2][0],(text_decalage*xx,text_decalage*yy),hue=RR(A1.rank(b))/N)
for e in self.isolated_edges():
if e[2][1]==1:
#The end of e is at the singularity
b=e[2][0]
i=0
j=0
while cyclic_order[i][2][1]==0 or cyclic_order[i][2][0]!=b:
if cyclic_order[i][2][1]==0:
j=i
i+=1
if j==0 and cyclic_order[j][2][1]==1:
j=len(cyclic_order)-1
while cyclic_order[j][2][1]==1:
j-=1
a=A0.inverse_letter(cyclic_order[j][2][0])
x=boundary_initial_vertex[a][0]
y=boundary_initial_vertex[a][1]
#The start of e is also at the singularity
bb=A1.inverse_letter(b)
i=0
j=0
while cyclic_order[i][2][1]==0 or cyclic_order[i][2][0]!=bb:
if cyclic_order[i][2][1]==0:
j=i
i+=1
if j==0 and cyclic_order[j][2][1]==1:
j=len(cyclic_order)-1
while cyclic_order[j][2][1]==1:
j-=1
aa=A0.inverse_letter(cyclic_order[j][2][0])
xx=boundary_initial_vertex[aa][0]
yy=boundary_initial_vertex[aa][1]
g+=line([(x,y),(xx,yy)],alpha=1,thickness=2,hue=RR(A1.rank(b))/N)
g+=text(b,(text_decalage*x,text_decalage*y),hue=RR(A1.rank(b))/N)
for sq in self.twice_light_squares():
b=A1.to_positive_letter(sq[5])
#The end of b is at the singularity
i=0
j=0
while cyclic_order[i][2][1]==0 or cyclic_order[i][2][0]!=b:
if cyclic_order[i][2][1]==0:
j=i
i+=1
if j==0 and cyclic_order[j][2][1]==1:
j=len(cyclic_order)-1
while cyclic_order[j][2][1]==1:
j-=1
a=A0.inverse_letter(cyclic_order[j][2][0])
x=boundary_initial_vertex[a][0]
y=boundary_initial_vertex[a][1]
#The start of b is also at the singularity
bb=A1.inverse_letter(b)
i=0
j=0
while cyclic_order[i][2][1]==0 or cyclic_order[i][2][0]!=bb:
if cyclic_order[i][2][1]==0:
j=i
i+=1
if j==0 and cyclic_order[j][2][1]==1:
j=len(cyclic_order)-1
while cyclic_order[j][2][1]==1:
j-=1
aa=A0.inverse_letter(cyclic_order[j][2][0])
xx=boundary_initial_vertex[aa][0]
yy=boundary_initial_vertex[aa][1]
g+=line([(x,y),(xx,yy)],alpha=1,thickness=2,hue=RR(A1.rank(b))/N)
g+=text(b,(text_decalage*x,text_decalage*y),hue=RR(A1.rank(b))/N)
g.axes(False)
return g
def plot(self,
chart=None,
ambient_coords=None,
mapping=None,
color='blue',
print_label=True,
label=None,
label_color=None,
fontsize=10,
label_offset=0.1,
parameters=None,
**extra_options):
r"""
Plot the vector in a Cartesian graph based on the coordinates of some
ambient chart.
The vector is drawn in terms of two (2D graphics) or three (3D graphics)
coordinates of a given chart, called hereafter the *ambient chart*.
The vector's base point `p` (or its image `\Phi(p)` by some
differentiable mapping `\Phi`) must lie in the ambient chart's domain.
If `\Phi` is different from the identity mapping, the vector
actually depicted is `\mathrm{d}\Phi_p(v)`, where `v` is the current
vector (``self``) (see the example of a vector tangent to the
2-sphere below, where `\Phi: S^2 \to \RR^3`).
INPUT:
- ``chart`` -- (default: ``None``) the ambient chart (see above); if
``None``, it is set to the default chart of the open set containing
the point at which the vector (or the vector image via the
differential `\mathrm{d}\Phi_p` of ``mapping``) is defined
- ``ambient_coords`` -- (default: ``None``) tuple containing the 2
or 3 coordinates of the ambient chart in terms of which the plot
is performed; if ``None``, all the coordinates of the ambient
chart are considered
- ``mapping`` -- (default: ``None``)
:class:`~sage.manifolds.differentiable.diff_map.DiffMap`;
differentiable mapping `\Phi` providing the link between the
point `p` at which the vector is defined and the ambient chart
``chart``: the domain of ``chart`` must contain `\Phi(p)`;
if ``None``, the identity mapping is assumed
- ``scale`` -- (default: 1) value by which the length of the arrow
representing the vector is multiplied
- ``color`` -- (default: 'blue') color of the arrow representing the
vector
- ``print_label`` -- (boolean; default: ``True``) determines whether a
label is printed next to the arrow representing the vector
- ``label`` -- (string; default: ``None``) label printed next to the
arrow representing the vector; if ``None``, the vector's symbol is
used, if any
- ``label_color`` -- (default: ``None``) color to print the label;
if ``None``, the value of ``color`` is used
- ``fontsize`` -- (default: 10) size of the font used to print the
label
- ``label_offset`` -- (default: 0.1) determines the separation between
the vector arrow and the label
- ``parameters`` -- (default: ``None``) dictionary giving the numerical
values of the parameters that may appear in the coordinate expression
of ``self`` (see example below)
- ``**extra_options`` -- extra options for the arrow plot, like
``linestyle``, ``width`` or ``arrowsize`` (see
:func:`~sage.plot.arrow.arrow2d` and
:func:`~sage.plot.plot3d.shapes.arrow3d` for details)
OUTPUT:
- a graphic object, either an instance of
:class:`~sage.plot.graphics.Graphics` for a 2D plot (i.e. based on
2 coordinates of ``chart``) or an instance of
:class:`~sage.plot.plot3d.base.Graphics3d` for a 3D plot (i.e.
based on 3 coordinates of ``chart``)
EXAMPLES:
Vector tangent to a 2-dimensional manifold::
sage: M = Manifold(2, 'M')
sage: X.<x,y> = M.chart()
sage: p = M((2,2), name='p')
sage: Tp = M.tangent_space(p)
sage: v = Tp((2, 1), name='v') ; v
Tangent vector v at Point p on the 2-dimensional differentiable
manifold M
Plot of the vector alone (arrow + label)::
sage: v.plot()
Graphics object consisting of 2 graphics primitives
Plot atop of the chart grid::
sage: X.plot() + v.plot()
Graphics object consisting of 20 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
p = M((2,2), name='p'); Tp = M.tangent_space(p)
v = Tp((2, 1), name='v')
g = X.plot() + v.plot()
sphinx_plot(g)
Plots with various options::
sage: X.plot() + v.plot(color='green', scale=2, label='V')
Graphics object consisting of 20 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
p = M((2,2), name='p'); Tp = M.tangent_space(p)
v = Tp((2, 1), name='v')
g = X.plot() + v.plot(color='green', scale=2, label='V')
sphinx_plot(g)
::
sage: X.plot() + v.plot(print_label=False)
Graphics object consisting of 19 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
p = M((2,2), name='p'); Tp = M.tangent_space(p)
v = Tp((2, 1), name='v')
g = X.plot() + v.plot(print_label=False)
sphinx_plot(g)
::
sage: X.plot() + v.plot(color='green', label_color='black',
....: fontsize=20, label_offset=0.2)
Graphics object consisting of 20 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
p = M((2,2), name='p'); Tp = M.tangent_space(p)
v = Tp((2, 1), name='v')
g = X.plot() + v.plot(color='green', label_color='black', fontsize=20, label_offset=0.2)
sphinx_plot(g)
::
sage: X.plot() + v.plot(linestyle=':', width=4, arrowsize=8,
....: fontsize=20)
Graphics object consisting of 20 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
p = M((2,2), name='p'); Tp = M.tangent_space(p)
v = Tp((2, 1), name='v')
g = X.plot() + v.plot(linestyle=':', width=4, arrowsize=8, fontsize=20)
sphinx_plot(g)
Plot with specific values of some free parameters::
sage: var('a b')
(a, b)
sage: v = Tp((1+a, -b^2), name='v') ; v.display()
v = (a + 1) d/dx - b^2 d/dy
sage: X.plot() + v.plot(parameters={a: -2, b: 3})
Graphics object consisting of 20 graphics primitives
Special case of the zero vector::
sage: v = Tp.zero() ; v
Tangent vector zero at Point p on the 2-dimensional differentiable
manifold M
sage: X.plot() + v.plot()
Graphics object consisting of 19 graphics primitives
Vector tangent to a 4-dimensional manifold::
sage: M = Manifold(4, 'M')
sage: X.<t,x,y,z> = M.chart()
sage: p = M((0,1,2,3), name='p')
sage: Tp = M.tangent_space(p)
sage: v = Tp((5,4,3,2), name='v') ; v
Tangent vector v at Point p on the 4-dimensional differentiable
manifold M
We cannot make a 4D plot directly::
sage: v.plot()
Traceback (most recent call last):
...
ValueError: the number of coordinates involved in the plot must
be either 2 or 3, not 4
Rather, we have to select some chart coordinates for the plot, via
the argument ``ambient_coords``. For instance, for a 2-dimensional
plot in terms of the coordinates `(x, y)`::
sage: v.plot(ambient_coords=(x,y))
Graphics object consisting of 2 graphics primitives
.. PLOT::
M = Manifold(4, 'M')
X = M.chart('t x y z'); t,x,y,z = X[:]
p = M((0,1,2,3), name='p'); Tp = M.tangent_space(p)
v = Tp((5,4,3,2), name='v')
g = X.plot(ambient_coords=(x,y)) + v.plot(ambient_coords=(x,y))
sphinx_plot(g)
This plot involves only the components `v^x` and `v^y` of `v`.
Similarly, for a 3-dimensional plot in terms of the coordinates
`(t, x, y)`::
sage: g = v.plot(ambient_coords=(t,x,z))
sage: print(g)
Graphics3d Object
This plot involves only the components `v^t`, `v^x` and `v^z` of `v`.
A nice 3D view atop the coordinate grid is obtained via::
sage: (X.plot(ambient_coords=(t,x,z)) # long time
....: + v.plot(ambient_coords=(t,x,z),
....: label_offset=0.5, width=6))
Graphics3d Object
.. PLOT::
M = Manifold(4, 'M')
X = M.chart('t x y z'); t,x,y,z = X[:]
p = M((0,1,2,3), name='p'); Tp = M.tangent_space(p)
v = Tp((5,4,3,2), name='v')
g = X.plot(ambient_coords=(t,x,z)) + v.plot(ambient_coords=(t,x,z),
label_offset=0.5, width=6)
sphinx_plot(g)
An example of plot via a differential mapping: plot of a vector tangent
to a 2-sphere viewed in `\RR^3`::
sage: S2 = Manifold(2, 'S^2')
sage: U = S2.open_subset('U') # the open set covered by spherical coord.
sage: XS.<th,ph> = U.chart(r'th:(0,pi):\theta ph:(0,2*pi):\phi')
sage: R3 = Manifold(3, 'R^3')
sage: X3.<x,y,z> = R3.chart()
sage: F = S2.diff_map(R3, {(XS, X3): [sin(th)*cos(ph),
....: sin(th)*sin(ph),
....: cos(th)]}, name='F')
sage: F.display() # the standard embedding of S^2 into R^3
F: S^2 --> R^3
on U: (th, ph) |--> (x, y, z) = (cos(ph)*sin(th), sin(ph)*sin(th), cos(th))
sage: p = U.point((pi/4, 7*pi/4), name='p')
sage: v = XS.frame()[1].at(p) ; v # the coordinate vector d/dphi at p
Tangent vector d/dph at Point p on the 2-dimensional differentiable
manifold S^2
sage: graph_v = v.plot(mapping=F)
sage: graph_S2 = XS.plot(chart=X3, mapping=F, number_values=9) # long time
sage: graph_v + graph_S2 # long time
Graphics3d Object
.. PLOT::
S2 = Manifold(2, 'S^2')
U = S2.open_subset('U')
XS = U.chart(r'th:(0,pi):\theta ph:(0,2*pi):\phi')
th, ph = XS[:]
R3 = Manifold(3, 'R^3')
X3 = R3.chart('x y z')
F = S2.diff_map(R3, {(XS, X3): [sin(th)*cos(ph), sin(th)*sin(ph),
cos(th)]}, name='F')
p = U.point((pi/4, 7*pi/4), name='p')
v = XS.frame()[1].at(p)
graph_v = v.plot(mapping=F)
graph_S2 = XS.plot(chart=X3, mapping=F, number_values=9)
sphinx_plot(graph_v + graph_S2)
"""
from sage.plot.arrow import arrow2d
from sage.plot.text import text
from sage.plot.graphics import Graphics
from sage.plot.plot3d.shapes import arrow3d
from sage.plot.plot3d.shapes2 import text3d
from sage.misc.functional import numerical_approx
from sage.manifolds.differentiable.chart import DiffChart
scale = extra_options.pop("scale")
#
# The "effective" vector to be plotted
#
if mapping is None:
eff_vector = self
base_point = self._point
else:
#!# check
# For efficiency, the method FiniteRankFreeModuleMorphism._call_()
# is called instead of FiniteRankFreeModuleMorphism.__call__()
eff_vector = mapping.differential(self._point)._call_(self)
base_point = mapping(self._point)
#
# The chart w.r.t. which the vector is plotted
#
if chart is None:
chart = base_point.parent().default_chart()
elif not isinstance(chart, DiffChart):
raise TypeError("{} is not a chart".format(chart))
#
# Coordinates of the above chart w.r.t. which the vector is plotted
#
if ambient_coords is None:
ambient_coords = chart[:] # all chart coordinates are used
n_pc = len(ambient_coords)
if n_pc != 2 and n_pc != 3:
raise ValueError("the number of coordinates involved in the " +
"plot must be either 2 or 3, not {}".format(n_pc))
# indices coordinates involved in the plot:
ind_pc = [chart[:].index(pc) for pc in ambient_coords]
#
# Components of the vector w.r.t. the chart frame
#
basis = chart.frame().at(base_point)
vcomp = eff_vector.comp(basis=basis)[:]
xp = base_point.coord(chart=chart)
#
# The arrow
#
resu = Graphics()
if parameters is None:
coord_tail = [numerical_approx(xp[i]) for i in ind_pc]
coord_head = [
numerical_approx(xp[i] + scale * vcomp[i]) for i in ind_pc
]
else:
coord_tail = [
numerical_approx(xp[i].substitute(parameters)) for i in ind_pc
]
coord_head = [
numerical_approx(
(xp[i] + scale * vcomp[i]).substitute(parameters))
for i in ind_pc
]
if coord_head != coord_tail:
if n_pc == 2:
resu += arrow2d(tailpoint=coord_tail,
headpoint=coord_head,
color=color,
**extra_options)
else:
resu += arrow3d(coord_tail,
coord_head,
color=color,
**extra_options)
#
# The label
#
if print_label:
if label is None:
if n_pc == 2 and self._latex_name is not None:
label = r'$' + self._latex_name + r'$'
if n_pc == 3 and self._name is not None:
label = self._name
if label is not None:
xlab = [xh + label_offset for xh in coord_head]
if label_color is None:
label_color = color
if n_pc == 2:
resu += text(label,
xlab,
fontsize=fontsize,
color=label_color)
else:
resu += text3d(label,
xlab,
fontsize=fontsize,
color=label_color)
return resu
def plot(self, chart=None, ambient_coords=None, mapping=None,
chart_domain=None, fixed_coords=None, ranges=None, max_value=8,
nb_values=None, steps=None,scale=1, color='blue', parameters=None,
label_axes=True, **extra_options):
r"""
Plot the vector field in a Cartesian graph based on the coordinates
of some ambient chart.
The vector field is drawn in terms of two (2D graphics) or three
(3D graphics) coordinates of a given chart, called hereafter the
*ambient chart*.
The vector field's base points `p` (or their images `\Phi(p)` by some
differentiable mapping `\Phi`) must lie in the ambient chart's domain.
INPUT:
- ``chart`` -- (default: ``None``) the ambient chart (see above); if
``None``, the default chart of the vector field's domain is used
- ``ambient_coords`` -- (default: ``None``) tuple containing the 2 or 3
coordinates of the ambient chart in terms of which the plot is
performed; if ``None``, all the coordinates of the ambient chart are
considered
- ``mapping`` -- (default: ``None``) differentiable mapping `\Phi`
(instance of
:class:`~sage.geometry.manifolds.diffmapping.DiffMapping`)
providing the link between the vector field's domain and
the ambient chart ``chart``; if ``None``, the identity mapping is
assumed
- ``chart_domain`` -- (default: ``None``) chart on the vector
field's domain to define the points at which vector arrows are to be
plotted; if ``None``, the default chart of the vector field's domain
is used
- ``fixed_coords`` -- (default: ``None``) dictionary with keys the
coordinates of ``chart_domain`` that are kept fixed and with values
the value of these coordinates; if ``None``, all the coordinates of
``chart_domain`` are used
- ``ranges`` -- (default: ``None``) dictionary with keys the
coordinates of ``chart_domain`` to be used and values
tuples ``(x_min,x_max)`` specifying the
coordinate range for the plot; if ``None``, the entire coordinate
range declared during the construction of ``chart_domain`` is
considered (with ``-Infinity`` replaced by ``-max_value`` and
``+Infinity`` by ``max_value``)
- ``max_value`` -- (default: 8) numerical value substituted to
``+Infinity`` if the latter is the upper bound of the range of a
coordinate for which the plot is performed over the entire coordinate
range (i.e. for which no specific plot range has been set in
``ranges``); similarly ``-max_value`` is the numerical valued
substituted for ``-Infinity``
- ``nb_values`` -- (default: ``None``) either an integer or a dictionary
with keys the coordinates of ``chart_domain`` to be used and values
the number of values of the coordinate for sampling
the part of the vector field's domain involved in the plot ; if
``nb_values`` is a single integer, it represents the number of
values for all coordinates; if ``nb_values`` is ``None``, it is set
to 9 for a 2D plot and to 5 for a 3D plot
- ``steps`` -- (default: ``None``) dictionary with keys the coordinates
of ``chart_domain`` to be used and values the step between each
constant value of the coordinate; if ``None``, the step is computed
from the coordinate range (specified in ``ranges``) and ``nb_values``.
On the contrary, if the step is provided for some coordinate, the
corresponding number of values is deduced from it and the coordinate
range.
- ``scale`` -- (default: 1) value by which the lengths of the arrows
representing the vectors is multiplied
- ``color`` -- (default: 'blue') color of the arrows representing the
vectors
- ``parameters`` -- (default: ``None``) dictionary giving the numerical
values of the parameters that may appear in the coordinate expression
of the vector field (see example below)
- ``label_axes`` -- (default: ``True``) boolean determining whether the
labels of the coordinate axes of ``chart`` shall be added to the
graph; can be set to ``False`` if the graph is 3D and must be
superposed with another graph.
- ``**extra_options`` -- extra options for the arrow plot, like
``linestyle``, ``width`` or ``arrowsize`` (see
:func:`~sage.plot.arrow.arrow2d` and
:func:`~sage.plot.plot3d.shapes.arrow3d` for details)
OUTPUT:
- a graphic object, either an instance of
:class:`~sage.plot.graphics.Graphics` for a 2D plot (i.e. based on
2 coordinates of ``chart``) or an instance of
:class:`~sage.plot.plot3d.base.Graphics3d` for a 3D plot (i.e.
based on 3 coordinates of ``chart``)
EXAMPLES:
Plot of a vector field on a 2-dimensional manifold::
sage: Manifold._clear_cache_() # for doctests only
sage: M = Manifold(2, 'M')
sage: X.<x,y> = M.chart()
sage: v = M.vector_field(name='v')
sage: v[:] = -y, x ; v.display()
v = -y d/dx + x d/dy
sage: v.plot()
Graphics object consisting of 80 graphics primitives
Plot with various options::
sage: v.plot(scale=0.5, color='green', linestyle='--', width=1, arrowsize=6)
Graphics object consisting of 80 graphics primitives
sage: v.plot(max_value=4, nb_values=5, scale=0.5)
Graphics object consisting of 24 graphics primitives
Plots along a line of fixed coordinate::
sage: v.plot(fixed_coords={x: -2})
Graphics object consisting of 9 graphics primitives
sage: v.plot(fixed_coords={y: 1})
Graphics object consisting of 9 graphics primitives
Let us now consider a vector field on a 4-dimensional manifold::
sage: Manifold._clear_cache_() # for doctests only
sage: M = Manifold(4, 'M')
sage: X.<t,x,y,z> = M.chart()
sage: v = M.vector_field(name='v')
sage: v[:] = (t/8)^2, -t*y/4, t*x/4, t*z/4 ; v.display()
v = 1/64*t^2 d/dt - 1/4*t*y d/dx + 1/4*t*x d/dy + 1/4*t*z d/dz
We cannot make a 4D plot directly::
sage: v.plot()
Traceback (most recent call last):
...
ValueError: the number of ambient coordinates must be either 2 or 3, not 4
Rather, we have to select some coordinates for the plot, via
the argument ``ambient_coords``. For instance, for a 3D plot::
sage: v.plot(ambient_coords=(x, y, z), fixed_coords={t: 1})
Graphics3d Object
sage: v.plot(ambient_coords=(x, y, t), fixed_coords={z: 0},
....: ranges={x: (-2,2), y: (-2,2), t: (-1, 4)}, nb_values=4)
Graphics3d Object
or, for a 2D plot::
sage: v.plot(ambient_coords=(x, y), fixed_coords={t: 1, z: 0})
Graphics object consisting of 80 graphics primitives
sage: v.plot(ambient_coords=(x, t), fixed_coords={y: 1, z: 0})
Graphics object consisting of 72 graphics primitives
An example of plot via a differential mapping: plot of a vector field
tangent to a 2-sphere viewed in `\RR^3`::
sage: S2 = Manifold(2, 'S^2')
sage: U = S2.open_subset('U') # the open set covered by spherical coord.
sage: XS.<th,ph> = U.chart(r'th:(0,pi):\theta ph:(0,2*pi):\phi')
sage: R3 = Manifold(3, 'R^3')
sage: X3.<x,y,z> = R3.chart()
sage: F = S2.diff_mapping(R3, {(XS, X3): [sin(th)*cos(ph),
....: sin(th)*sin(ph), cos(th)]}, name='F')
sage: F.display() # the standard embedding of S^2 into R^3
F: S^2 --> R^3
on U: (th, ph) |--> (x, y, z) = (cos(ph)*sin(th), sin(ph)*sin(th), cos(th))
sage: v = XS.frame()[1] ; v
vector field 'd/dph' on the open subset 'U' of the 2-dimensional manifold 'S^2'
sage: graph_v = v.plot(chart=X3, mapping=F, label_axes=False)
sage: graph_S2 = XS.plot(chart=X3, mapping=F, nb_values=9)
sage: show(graph_v + graph_S2)
"""
from sage.rings.infinity import Infinity
from sage.misc.functional import numerical_approx
from sage.misc.latex import latex
from sage.plot.graphics import Graphics
from sage.geometry.manifolds.chart import Chart
from sage.geometry.manifolds.utilities import set_axes_labels
#
# 1/ Treatment of input parameters
# -----------------------------
if chart is None:
chart = self._domain.default_chart()
elif not isinstance(chart, Chart):
raise TypeError("{} is not a chart".format(chart))
if chart_domain is None:
chart_domain = self._domain.default_chart()
elif not isinstance(chart_domain, Chart):
raise TypeError("{} is not a chart".format(chart_domain))
elif not chart_domain.domain().is_subset(self._domain):
raise ValueError("The domain of {} is not ".format(chart_domain) +
"included in the domain of {}".format(self))
if fixed_coords is None:
coords = chart_domain._xx
else:
fixed_coord_list = fixed_coords.keys()
coords = []
for coord in chart_domain._xx:
if coord not in fixed_coord_list:
coords.append(coord)
coords = tuple(coords)
if ambient_coords is None:
ambient_coords = chart[:]
elif not isinstance(ambient_coords, tuple):
ambient_coords = tuple(ambient_coords)
nca = len(ambient_coords)
if nca != 2 and nca !=3:
raise ValueError("the number of ambient coordinates must be " +
"either 2 or 3, not {}".format(nca))
if ranges is None:
ranges = {}
ranges0 = {}
for coord in coords:
if coord in ranges:
ranges0[coord] = (numerical_approx(ranges[coord][0]),
numerical_approx(ranges[coord][1]))
else:
bounds = chart_domain._bounds[chart_domain[:].index(coord)]
if bounds[0][0] == -Infinity:
xmin = numerical_approx(-max_value)
elif bounds[0][1]:
xmin = numerical_approx(bounds[0][0])
else:
xmin = numerical_approx(bounds[0][0] + 1.e-3)
if bounds[1][0] == Infinity:
xmax = numerical_approx(max_value)
elif bounds[1][1]:
xmax = numerical_approx(bounds[1][0])
else:
xmax = numerical_approx(bounds[1][0] - 1.e-3)
ranges0[coord] = (xmin, xmax)
ranges = ranges0
if nb_values is None:
if nca == 2: # 2D plot
nb_values = 9
else: # 3D plot
nb_values = 5
if not isinstance(nb_values, dict):
nb_values0 = {}
for coord in coords:
nb_values0[coord] = nb_values
nb_values = nb_values0
if steps is None:
steps = {}
for coord in coords:
if coord not in steps:
steps[coord] = (ranges[coord][1] - ranges[coord][0])/ \
(nb_values[coord]-1)
else:
nb_values[coord] = 1 + int(
(ranges[coord][1] - ranges[coord][0])/ steps[coord])
#
# 2/ Plots
# -----
dom = chart_domain.domain()
nc = len(chart_domain[:])
ncp = len(coords)
xx = [0] * nc
if fixed_coords is not None:
if len(fixed_coords) != nc - ncp:
raise ValueError("Bad number of fixed coordinates.")
for fc, val in fixed_coords.iteritems():
xx[chart_domain[:].index(fc)] = val
index_p = [chart_domain[:].index(cd) for cd in coords]
resu = Graphics()
ind = [0] * ncp
ind_max = [0] * ncp
ind_max[0] = nb_values[coords[0]]
xmin = [ranges[cd][0] for cd in coords]
step_tab = [steps[cd] for cd in coords]
while ind != ind_max:
for i in range(ncp):
xx[index_p[i]] = xmin[i] + ind[i]*step_tab[i]
if chart_domain.valid_coordinates(*xx, tolerance=1e-13,
parameters=parameters):
point = dom(xx, chart=chart_domain)
resu += self.at(point).plot(chart=chart,
ambient_coords=ambient_coords, mapping=mapping,
scale=scale, color=color, print_label=False,
parameters=parameters,
**extra_options)
# Next index:
ret = 1
for pos in range(ncp-1,-1,-1):
imax = nb_values[coords[pos]] - 1
if ind[pos] != imax:
ind[pos] += ret
ret = 0
elif ret == 1:
if pos == 0:
ind[pos] = imax + 1 # end point reached
else:
ind[pos] = 0
ret = 1
if label_axes:
if nca==2: # 2D graphic
# We update the dictionary _extra_kwds (options to be passed
# to show()), instead of using the method
# Graphics.axes_labels() since the latter is not robust w.r.t.
# graph addition
resu._extra_kwds['axes_labels'] = [r'$'+latex(ac)+r'$'
for ac in ambient_coords]
else: # 3D graphic
labels = [str(ac) for ac in ambient_coords]
resu = set_axes_labels(resu, *labels)
return resu
def plot(hyperplane_arrangement, **kwds):
r"""
Return a plot of the hyperplane arrangement.
If the arrangement is in 4 dimensions but inessential, a plot of
the essentialization is returned.
.. NOTE::
This function is available as the
:meth:`~sage.geometry.hyperplane_arrangement.arrangement.HyperplaneArrangementElement.plot`
method of hyperplane arrangements. You should not call this
function directly, only through the method.
INPUT:
- ``hyperplane_arrangement`` -- the hyperplane arrangement to plot
- ``**kwds`` -- plot options: see
:mod:`sage.geometry.hyperplane_arrangement.plot`.
OUTPUT:
A graphics object of the plot.
EXAMPLES::
sage: B = hyperplane_arrangements.semiorder(4)
sage: B.plot()
Displaying the essentialization.
Graphics3d Object
"""
N = len(hyperplane_arrangement)
dim = hyperplane_arrangement.dimension()
if hyperplane_arrangement.base_ring().characteristic() != 0:
raise NotImplementedError('must be a field of characteristic 0')
elif dim == 4:
if not hyperplane_arrangement.is_essential():
print('Displaying the essentialization.')
hyperplane_arrangement = hyperplane_arrangement.essentialization()
elif dim not in [1, 2, 3]: # revise to handle 4d
return # silently
# handle extra keywords
if 'hyperplane_colors' in kwds:
hyp_colors = kwds.pop('hyperplane_colors')
if not isinstance(hyp_colors,
list): # we assume its a single color then
hyp_colors = [hyp_colors] * N
else:
HSV_tuples = [(i * 1.0 / N, 0.8, 0.9) for i in range(N)]
hyp_colors = [hsv_to_rgb(*x) for x in HSV_tuples]
if 'hyperplane_labels' in kwds:
hyp_labels = kwds.pop('hyperplane_labels')
has_hyp_label = True
if not isinstance(hyp_labels, list): # we assume its a boolean then
hyp_labels = [hyp_labels] * N
relabeled = []
for i in range(N):
if hyp_labels[i] in [True, 'long']:
relabeled.append(True)
else:
relabeled.append(str(i))
hyp_labels = relabeled
else:
has_hyp_label = False
if 'label_colors' in kwds:
label_colors = kwds.pop('label_colors')
has_label_color = True
if not isinstance(label_colors,
list): # we assume its a single color then
label_colors = [label_colors] * N
else:
has_label_color = False
if 'label_fontsize' in kwds:
label_fontsize = kwds.pop('label_fontsize')
has_label_fontsize = True
if not isinstance(label_fontsize,
list): # we assume its a single size then
label_fontsize = [label_fontsize] * N
else:
has_label_fontsize = False
if 'label_offsets' in kwds:
has_offsets = True
offsets = kwds.pop('label_offsets')
else:
has_offsets = False # give default values below
hyperplane_legend = kwds.pop('hyperplane_legend',
'long' if dim < 3 else False)
if 'hyperplane_opacities' in kwds:
hyperplane_opacities = kwds.pop('hyperplane_opacities')
has_opacity = True
if not isinstance(hyperplane_opacities,
list): # we assume a single number then
hyperplane_opacities = [hyperplane_opacities] * N
else:
has_opacity = False
point_sizes = kwds.pop('point_sizes', 50)
if not isinstance(point_sizes, list):
point_sizes = [point_sizes] * N
if 'ranges' in kwds:
ranges_set = True
ranges = kwds.pop('ranges')
if not type(ranges) in [list, tuple]: # ranges is a single number
ranges = [ranges] * N
# So ranges is some type of list.
elif dim == 2: # arrangement of lines in the plane
if not type(ranges[0]) in [list, tuple]: # a single interval
ranges = [ranges] * N
elif dim == 3: # arrangement of planes in 3-space
if not type(ranges[0][0]) in [list, tuple]:
ranges = [ranges] * N
elif dim not in [2, 3]: # ranges is not an option unless dim is 2 or 3
ranges_set = False
else: # a list of intervals, one for each hyperplane is given
pass # ranges does not need to be modified
else:
ranges_set = False # give default values below
# the extra keywords have now been handled
# now handle the legend
if dim in [1, 2]: # points on a line or lines in the plane
if hyperplane_legend in [True, 'long']:
hyps = hyperplane_arrangement.hyperplanes()
legend_labels = [hyps[i]._latex_() for i in range(N)]
elif hyperplane_legend == 'short':
legend_labels = [str(i) for i in range(N)]
else: # dim==3, arrangement of planes in 3-space
if hyperplane_legend in [True, 'long']:
legend3d = legend_3d(hyperplane_arrangement, hyp_colors, 'long')
elif hyperplane_legend == 'short':
legend3d = legend_3d(hyperplane_arrangement, hyp_colors, 'short')
## done handling the legend
## now create the plot
p = Graphics()
for i in range(N):
newk = copy(kwds)
if has_hyp_label:
newk['hyperplane_label'] = hyp_labels[i]
if has_offsets:
if not isinstance(offsets, list):
newk['label_offset'] = offsets
else:
newk['label_offset'] = offsets[i]
else:
newk['hyperplane_label'] = False
if has_label_color:
newk['label_color'] = label_colors[i]
if has_label_fontsize:
newk['label_fontsize'] = label_fontsize[i]
if has_opacity:
newk['opacity'] = hyperplane_opacities[i]
if dim == 1:
newk['point_size'] = point_sizes[i]
if dim in [1, 2] and hyperplane_legend: # more options than T/F
newk['legend_label'] = legend_labels[i]
if ranges_set:
newk['ranges'] = ranges[i]
p += plot_hyperplane(hyperplane_arrangement[i],
rgbcolor=hyp_colors[i],
**newk)
if dim == 1:
if hyperplane_legend: # there are more options than T/F
p.legend(True)
return p
elif dim == 2:
if hyperplane_legend: # there are more options than T/F
p.legend(True)
return p
else: # dim==3
if hyperplane_legend: # there are more options than T/F
return p, legend3d
else:
return p
def arc(center, r1, r2=None, angle=0.0, sector=(0.0, 2 * pi), **options):
r"""
An arc (that is a portion of a circle or an ellipse)
Type ``arc.options`` to see all options.
INPUT:
- ``center`` - 2-tuple of real numbers - position of the center.
- ``r1``, ``r2`` - positive real numbers - radii of the ellipse. If only ``r1``
is set, then the two radii are supposed to be equal and this function returns
an arc of circle.
- ``angle`` - real number - angle between the horizontal and the axis that
corresponds to ``r1``.
- ``sector`` - 2-tuple (default: (0,2*pi))- angles sector in which the arc will
be drawn.
OPTIONS:
- ``alpha`` - float (default: 1) - transparency
- ``thickness`` - float (default: 1) - thickness of the arc
- ``color``, ``rgbcolor`` - string or 2-tuple (default: 'blue') - the color
of the arc
- ``linestyle`` - string (default: ``'solid'``) - The style of the line,
which is one of ``'dashed'``, ``'dotted'``, ``'solid'``, ``'dashdot'``,
or ``'--'``, ``':'``, ``'-'``, ``'-.'``, respectively.
EXAMPLES:
Plot an arc of circle centered at (0,0) with radius 1 in the sector
`(\pi/4,3*\pi/4)`::
sage: arc((0,0), 1, sector=(pi/4,3*pi/4))
Graphics object consisting of 1 graphics primitive
Plot an arc of an ellipse between the angles 0 and `\pi/2`::
sage: arc((2,3), 2, 1, sector=(0,pi/2))
Graphics object consisting of 1 graphics primitive
Plot an arc of a rotated ellipse between the angles 0 and `\pi/2`::
sage: arc((2,3), 2, 1, angle=pi/5, sector=(0,pi/2))
Graphics object consisting of 1 graphics primitive
Plot an arc of an ellipse in red with a dashed linestyle::
sage: arc((0,0), 2, 1, 0, (0,pi/2), linestyle="dashed", color="red")
Graphics object consisting of 1 graphics primitive
sage: arc((0,0), 2, 1, 0, (0,pi/2), linestyle="--", color="red")
Graphics object consisting of 1 graphics primitive
The default aspect ratio for arcs is 1.0::
sage: arc((0,0), 1, sector=(pi/4,3*pi/4)).aspect_ratio()
1.0
It is not possible to draw arcs in 3D::
sage: A = arc((0,0,0), 1)
Traceback (most recent call last):
...
NotImplementedError
"""
from sage.plot.all import Graphics
# Reset aspect_ratio to 'automatic' in case scale is 'semilog[xy]'.
# Otherwise matplotlib complains.
scale = options.get('scale', None)
if isinstance(scale, (list, tuple)):
scale = scale[0]
if scale == 'semilogy' or scale == 'semilogx':
options['aspect_ratio'] = 'automatic'
if len(center) == 2:
if r2 is None:
r2 = r1
g = Graphics()
g._set_extra_kwds(Graphics._extract_kwds_for_show(options))
if len(sector) != 2:
raise ValueError("the sector must consist of two angles")
g.add_primitive(
Arc(center[0], center[1], r1, r2, angle, sector[0], sector[1],
options))
return g
elif len(center) == 3:
raise NotImplementedError
def arc(center, r1, r2=None, angle=0.0, sector=(0.0, 2 * pi), **options):
r"""
An arc (that is a portion of a circle or an ellipse)
Type ``arc.options`` to see all options.
INPUT:
- ``center`` - 2-tuple of real numbers - position of the center.
- ``r1``, ``r2`` - positive real numbers - radii of the ellipse. If only ``r1``
is set, then the two radii are supposed to be equal and this function returns
an arc of of circle.
- ``angle`` - real number - angle between the horizontal and the axis that
corresponds to ``r1``.
- ``sector`` - 2-tuple (default: (0,2*pi))- angles sector in which the arc will
be drawn.
OPTIONS:
- ``alpha`` - float (default: 1) - transparency
- ``thickness`` - float (default: 1) - thickness of the arc
- ``color``, ``rgbcolor`` - string or 2-tuple (default: 'blue') - the color
of the arc
- ``linestyle`` - string (default: ``'solid'``) - The style of the line,
which is one of ``'dashed'``, ``'dotted'``, ``'solid'``, ``'dashdot'``,
or ``'--'``, ``':'``, ``'-'``, ``'-.'``, respectively.
EXAMPLES:
Plot an arc of circle centered at (0,0) with radius 1 in the sector
`(\pi/4,3*\pi/4)`::
sage: arc((0,0), 1, sector=(pi/4,3*pi/4))
Graphics object consisting of 1 graphics primitive
Plot an arc of an ellipse between the angles 0 and `\pi/2`::
sage: arc((2,3), 2, 1, sector=(0,pi/2))
Graphics object consisting of 1 graphics primitive
Plot an arc of a rotated ellipse between the angles 0 and `\pi/2`::
sage: arc((2,3), 2, 1, angle=pi/5, sector=(0,pi/2))
Graphics object consisting of 1 graphics primitive
Plot an arc of an ellipse in red with a dashed linestyle::
sage: arc((0,0), 2, 1, 0, (0,pi/2), linestyle="dashed", color="red")
Graphics object consisting of 1 graphics primitive
sage: arc((0,0), 2, 1, 0, (0,pi/2), linestyle="--", color="red")
Graphics object consisting of 1 graphics primitive
The default aspect ratio for arcs is 1.0::
sage: arc((0,0), 1, sector=(pi/4,3*pi/4)).aspect_ratio()
1.0
It is not possible to draw arcs in 3D::
sage: A = arc((0,0,0), 1)
Traceback (most recent call last):
...
NotImplementedError
"""
from sage.plot.all import Graphics
# Reset aspect_ratio to 'automatic' in case scale is 'semilog[xy]'.
# Otherwise matplotlib complains.
scale = options.get('scale', None)
if isinstance(scale, (list, tuple)):
scale = scale[0]
if scale == 'semilogy' or scale == 'semilogx':
options['aspect_ratio'] = 'automatic'
if len(center) == 2:
if r2 is None:
r2 = r1
g = Graphics()
g._set_extra_kwds(Graphics._extract_kwds_for_show(options))
if len(sector) != 2:
raise ValueError("the sector must consist of two angles")
g.add_primitive(Arc(
center[0], center[1],
r1, r2,
angle,
sector[0], sector[1],
options))
return g
elif len(center) == 3:
raise NotImplementedError
def finalize(self, G):
r"""
Finalize a root system plot.
INPUT:
- ``G`` -- a root system plot or ``0``
This sets the aspect ratio to 1 and remove the axes. This
should be called by all the user-level plotting methods of
root systems. This will become mostly obsolete when
customization options won't be lost anymore upon addition of
graphics objects and there will be a proper empty object for
2D and 3D plots.
EXAMPLES::
sage: L = RootSystem(["B",2,1]).ambient_space()
sage: options = L.plot_parse_options()
sage: p = L.plot_roots(plot_options=options)
sage: p += L.plot_coroots(plot_options=options)
sage: p.axes()
True
sage: p = options.finalize(p)
sage: p.axes()
False
sage: p.aspect_ratio()
1.0
sage: options = L.plot_parse_options(affine=False)
sage: p = L.plot_roots(plot_options=options)
sage: p += point([[1,1,0]])
sage: p = options.finalize(p)
sage: p.aspect_ratio()
[1.0, 1.0, 1.0]
If the input is ``0``, this returns an empty graphics object::
sage: type(options.finalize(0))
<class 'sage.plot.plot3d.base.Graphics3dGroup'>
sage: options = L.plot_parse_options()
sage: type(options.finalize(0))
<class 'sage.plot.graphics.Graphics'>
sage: list(options.finalize(0))
[]
"""
from sage.plot.graphics import Graphics
if self.dimension == 2:
if G == 0:
G = Graphics()
G.set_aspect_ratio(1)
# TODO: make this customizable
G.axes(False)
elif self.dimension == 3:
if G == 0:
from sage.plot.plot3d.base import Graphics3dGroup
G = Graphics3dGroup()
G.aspect_ratio(1)
# TODO: Configuration axes
return G
def _graphics(self, plot_curve, ambient_coords, thickness=1,
aspect_ratio='automatic', color='red', style='-',
label_axes=True):
r"""
Plot a 2D or 3D curve in a Cartesian graph with axes labeled by
the ambient coordinates; it is invoked by the methods
:meth:`plot` of
:class:`~sage.manifolds.differentiable.curve.DifferentiableCurve`,
and its subclasses
(:class:`~sage.manifolds.differentiable.integrated_curve.IntegratedCurve`,
:class:`~sage.manifolds.differentiable.integrated_curve.IntegratedAutoparallelCurve`,
and
:class:`~sage.manifolds.differentiable.integrated_curve.IntegratedGeodesic`).
TESTS::
sage: M = Manifold(2, 'R^2')
sage: X.<x,y> = M.chart()
sage: R.<t> = RealLine()
sage: c = M.curve([cos(t), sin(t)], (t, 0, 2*pi), name='c')
sage: graph = c._graphics([[1,2], [3,4]], [x,y])
sage: graph._objects[0].xdata == [1,3]
True
sage: graph._objects[0].ydata == [2,4]
True
sage: graph._objects[0]._options['thickness'] == 1
True
sage: graph._extra_kwds['aspect_ratio'] == 'automatic'
True
sage: graph._objects[0]._options['rgbcolor'] == 'red'
True
sage: graph._objects[0]._options['linestyle'] == '-'
True
sage: l = [r'$'+latex(x)+r'$', r'$'+latex(y)+r'$']
sage: graph._extra_kwds['axes_labels'] == l
True
"""
from sage.plot.graphics import Graphics
from sage.plot.line import line
from sage.manifolds.utilities import set_axes_labels
#
# The plot
#
n_pc = len(ambient_coords)
resu = Graphics()
resu += line(plot_curve, color=color, linestyle=style,
thickness=thickness)
if n_pc == 2: # 2D graphic
resu.set_aspect_ratio(aspect_ratio)
if label_axes:
# We update the dictionary _extra_kwds (options to be passed
# to show()), instead of using the method
# Graphics.axes_labels() since the latter is not robust w.r.t.
# graph addition
resu._extra_kwds['axes_labels'] = [r'$'+latex(pc)+r'$'
for pc in ambient_coords]
else: # 3D graphic
if aspect_ratio == 'automatic':
aspect_ratio = 1
resu.aspect_ratio(aspect_ratio)
if label_axes:
labels = [str(pc) for pc in ambient_coords]
resu = set_axes_labels(resu, *labels)
return resu
def plot(self, chart=None, ambient_coords=None, mapping=None,
chart_domain=None, fixed_coords=None, ranges=None,
number_values=None, steps=None,
parameters=None, label_axes=True, **extra_options):
r"""
Plot the vector field in a Cartesian graph based on the coordinates
of some ambient chart.
The vector field is drawn in terms of two (2D graphics) or three
(3D graphics) coordinates of a given chart, called hereafter the
*ambient chart*.
The vector field's base points `p` (or their images `\Phi(p)` by some
differentiable mapping `\Phi`) must lie in the ambient chart's domain.
INPUT:
- ``chart`` -- (default: ``None``) the ambient chart (see above); if
``None``, the default chart of the vector field's domain is used
- ``ambient_coords`` -- (default: ``None``) tuple containing the 2
or 3 coordinates of the ambient chart in terms of which the plot
is performed; if ``None``, all the coordinates of the ambient
chart are considered
- ``mapping`` -- :class:`~sage.manifolds.differentiable.diff_map.DiffMap`
(default: ``None``); differentiable map `\Phi` providing the link
between the vector field's domain and the ambient chart ``chart``;
if ``None``, the identity map is assumed
- ``chart_domain`` -- (default: ``None``) chart on the vector field's
domain to define the points at which vector arrows are to be plotted;
if ``None``, the default chart of the vector field's domain is used
- ``fixed_coords`` -- (default: ``None``) dictionary with keys the
coordinates of ``chart_domain`` that are kept fixed and with values
the value of these coordinates; if ``None``, all the coordinates of
``chart_domain`` are used
- ``ranges`` -- (default: ``None``) dictionary with keys the
coordinates of ``chart_domain`` to be used and values tuples
``(x_min, x_max)`` specifying the coordinate range for the plot;
if ``None``, the entire coordinate range declared during the
construction of ``chart_domain`` is considered (with ``-Infinity``
replaced by ``-max_range`` and ``+Infinity`` by ``max_range``)
- ``number_values`` -- (default: ``None``) either an integer or a
dictionary with keys the coordinates of ``chart_domain`` to be
used and values the number of values of the coordinate for sampling
the part of the vector field's domain involved in the plot ; if
``number_values`` is a single integer, it represents the number of
values for all coordinates; if ``number_values`` is ``None``, it is
set to 9 for a 2D plot and to 5 for a 3D plot
- ``steps`` -- (default: ``None``) dictionary with keys the
coordinates of ``chart_domain`` to be used and values the step
between each constant value of the coordinate; if ``None``, the
step is computed from the coordinate range (specified in ``ranges``)
and ``number_values``; on the contrary, if the step is provided
for some coordinate, the corresponding number of values is deduced
from it and the coordinate range
- ``parameters`` -- (default: ``None``) dictionary giving the numerical
values of the parameters that may appear in the coordinate expression
of the vector field (see example below)
- ``label_axes`` -- (default: ``True``) boolean determining whether
the labels of the coordinate axes of ``chart`` shall be added to
the graph; can be set to ``False`` if the graph is 3D and must be
superposed with another graph
- ``color`` -- (default: 'blue') color of the arrows representing
the vectors
- ``max_range`` -- (default: 8) numerical value substituted to
``+Infinity`` if the latter is the upper bound of the range of a
coordinate for which the plot is performed over the entire coordinate
range (i.e. for which no specific plot range has been set in
``ranges``); similarly ``-max_range`` is the numerical valued
substituted for ``-Infinity``
- ``scale`` -- (default: 1) value by which the lengths of the arrows
representing the vectors is multiplied
- ``**extra_options`` -- extra options for the arrow plot, like
``linestyle``, ``width`` or ``arrowsize`` (see
:func:`~sage.plot.arrow.arrow2d` and
:func:`~sage.plot.plot3d.shapes.arrow3d` for details)
OUTPUT:
- a graphic object, either an instance of
:class:`~sage.plot.graphics.Graphics` for a 2D plot (i.e. based on
2 coordinates of ``chart``) or an instance of
:class:`~sage.plot.plot3d.base.Graphics3d` for a 3D plot (i.e.
based on 3 coordinates of ``chart``)
EXAMPLES:
Plot of a vector field on a 2-dimensional manifold::
sage: M = Manifold(2, 'M')
sage: X.<x,y> = M.chart()
sage: v = M.vector_field(name='v')
sage: v[:] = -y, x ; v.display()
v = -y d/dx + x d/dy
sage: v.plot()
Graphics object consisting of 80 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
v = M.vector_field(name='v'); v[:] = -y, x
g = v.plot()
sphinx_plot(g)
Plot with various options::
sage: v.plot(scale=0.5, color='green', linestyle='--', width=1,
....: arrowsize=6)
Graphics object consisting of 80 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
v = M.vector_field(name='v'); v[:] = -y, x
g = v.plot(scale=0.5, color='green', linestyle='--', width=1, arrowsize=6)
sphinx_plot(g)
::
sage: v.plot(max_range=4, number_values=5, scale=0.5)
Graphics object consisting of 24 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
v = M.vector_field(name='v'); v[:] = -y, x
g = v.plot(max_range=4, number_values=5, scale=0.5)
sphinx_plot(g)
Plot using parallel computation::
sage: Parallelism().set(nproc=2)
sage: v.plot(scale=0.5, number_values=10, linestyle='--', width=1,
....: arrowsize=6)
Graphics object consisting of 100 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
v = M.vector_field(name='v'); v[:] = -y, x
g = v.plot(scale=0.5, number_values=10, linestyle='--', width=1, arrowsize=6)
sphinx_plot(g)
::
sage: Parallelism().set(nproc=1) # switch off parallelization
Plots along a line of fixed coordinate::
sage: v.plot(fixed_coords={x: -2})
Graphics object consisting of 9 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
v = M.vector_field(name='v'); v[:] = -y, x
g = v.plot(fixed_coords={x: -2})
sphinx_plot(g)
::
sage: v.plot(fixed_coords={y: 1})
Graphics object consisting of 9 graphics primitives
.. PLOT::
M = Manifold(2, 'M')
X = M.chart('x y'); x, y = X[:]
v = M.vector_field(name='v'); v[:] = -y, x
g = v.plot(fixed_coords={y: 1})
sphinx_plot(g)
Let us now consider a vector field on a 4-dimensional manifold::
sage: M = Manifold(4, 'M')
sage: X.<t,x,y,z> = M.chart()
sage: v = M.vector_field(name='v')
sage: v[:] = (t/8)^2, -t*y/4, t*x/4, t*z/4 ; v.display()
v = 1/64*t^2 d/dt - 1/4*t*y d/dx + 1/4*t*x d/dy + 1/4*t*z d/dz
We cannot make a 4D plot directly::
sage: v.plot()
Traceback (most recent call last):
...
ValueError: the number of ambient coordinates must be either 2 or 3, not 4
Rather, we have to select some coordinates for the plot, via
the argument ``ambient_coords``. For instance, for a 3D plot::
sage: v.plot(ambient_coords=(x, y, z), fixed_coords={t: 1}, # long time
....: number_values=4)
Graphics3d Object
.. PLOT::
M = Manifold(4, 'M')
X = M.chart('t x y z') ; t,x,y,z = X[:]
v = M.vector_field(name='v')
v[:] = (t/8)**2, -t*y/4, t*x/4, t*z/4
sphinx_plot(v.plot(ambient_coords=(x, y, z), fixed_coords={t: 1},
number_values=4))
::
sage: v.plot(ambient_coords=(x, y, t), fixed_coords={z: 0}, # long time
....: ranges={x: (-2,2), y: (-2,2), t: (-1, 4)},
....: number_values=4)
Graphics3d Object
.. PLOT::
M = Manifold(4, 'M')
X = M.chart('t x y z'); t,x,y,z = X[:]
v = M.vector_field(name='v')
v[:] = (t/8)**2, -t*y/4, t*x/4, t*z/4
sphinx_plot(v.plot(ambient_coords=(x, y, t), fixed_coords={z: 0},
ranges={x: (-2,2), y: (-2,2), t: (-1, 4)},
number_values=4))
or, for a 2D plot::
sage: v.plot(ambient_coords=(x, y), fixed_coords={t: 1, z: 0}) # long time
Graphics object consisting of 80 graphics primitives
.. PLOT::
M = Manifold(4, 'M')
X = M.chart('t x y z'); t,x,y,z = X[:]
v = M.vector_field(name='v')
v[:] = (t/8)**2, -t*y/4, t*x/4, t*z/4
g = v.plot(ambient_coords=(x, y), fixed_coords={t: 1, z: 0})
sphinx_plot(g)
::
sage: v.plot(ambient_coords=(x, t), fixed_coords={y: 1, z: 0}) # long time
Graphics object consisting of 72 graphics primitives
.. PLOT::
M = Manifold(4, 'M')
X = M.chart('t x y z'); t,x,y,z = X[:]
v = M.vector_field(name='v')
v[:] = v[:] = (t/8)**2, -t*y/4, t*x/4, t*z/4
g = v.plot(ambient_coords=(x, t), fixed_coords={y: 1, z: 0})
sphinx_plot(g)
An example of plot via a differential mapping: plot of a vector field
tangent to a 2-sphere viewed in `\RR^3`::
sage: S2 = Manifold(2, 'S^2')
sage: U = S2.open_subset('U') # the open set covered by spherical coord.
sage: XS.<th,ph> = U.chart(r'th:(0,pi):\theta ph:(0,2*pi):\phi')
sage: R3 = Manifold(3, 'R^3')
sage: X3.<x,y,z> = R3.chart()
sage: F = S2.diff_map(R3, {(XS, X3): [sin(th)*cos(ph),
....: sin(th)*sin(ph), cos(th)]}, name='F')
sage: F.display() # the standard embedding of S^2 into R^3
F: S^2 --> R^3
on U: (th, ph) |--> (x, y, z) = (cos(ph)*sin(th), sin(ph)*sin(th), cos(th))
sage: v = XS.frame()[1] ; v # the coordinate vector d/dphi
Vector field d/dph on the Open subset U of the 2-dimensional
differentiable manifold S^2
sage: graph_v = v.plot(chart=X3, mapping=F, label_axes=False)
sage: graph_S2 = XS.plot(chart=X3, mapping=F, number_values=9)
sage: graph_v + graph_S2
Graphics3d Object
.. PLOT::
S2 = Manifold(2, 'S^2')
U = S2.open_subset('U')
XS = U.chart(r'th:(0,pi):\theta ph:(0,2*pi):\phi')
th, ph = XS[:]
R3 = Manifold(3, 'R^3')
X3 = R3.chart('x y z')
F = S2.diff_map(R3, {(XS, X3): [sin(th)*cos(ph), sin(th)*sin(ph),
cos(th)]}, name='F')
v = XS.frame()[1]
graph_v = v.plot(chart=X3, mapping=F, label_axes=False)
graph_S2 = XS.plot(chart=X3, mapping=F, number_values=9)
sphinx_plot(graph_v + graph_S2)
Note that the default values of some arguments of the method ``plot``
are stored in the dictionary ``plot.options``::
sage: v.plot.options # random (dictionary output)
{'color': 'blue', 'max_range': 8, 'scale': 1}
so that they can be adjusted by the user::
sage: v.plot.options['color'] = 'red'
From now on, all plots of vector fields will use red as the default
color. To restore the original default options, it suffices to type::
sage: v.plot.reset()
"""
from sage.rings.infinity import Infinity
from sage.misc.functional import numerical_approx
from sage.misc.latex import latex
from sage.plot.graphics import Graphics
from sage.manifolds.chart import RealChart
from sage.manifolds.utilities import set_axes_labels
from sage.parallel.decorate import parallel
from sage.parallel.parallelism import Parallelism
#
# 1/ Treatment of input parameters
# -----------------------------
max_range = extra_options.pop("max_range")
scale = extra_options.pop("scale")
color = extra_options.pop("color")
if chart is None:
chart = self._domain.default_chart()
elif not isinstance(chart, RealChart):
raise TypeError("{} is not a chart on a real ".format(chart) +
"manifold")
if chart_domain is None:
chart_domain = self._domain.default_chart()
elif not isinstance(chart_domain, RealChart):
raise TypeError("{} is not a chart on a ".format(chart_domain) +
"real manifold")
elif not chart_domain.domain().is_subset(self._domain):
raise ValueError("the domain of {} is not ".format(chart_domain) +
"included in the domain of {}".format(self))
coords_full = tuple(chart_domain[:]) # all coordinates of chart_domain
if fixed_coords is None:
coords = coords_full
else:
fixed_coord_list = fixed_coords.keys()
coords = []
for coord in coords_full:
if coord not in fixed_coord_list:
coords.append(coord)
coords = tuple(coords)
if ambient_coords is None:
ambient_coords = chart[:]
elif not isinstance(ambient_coords, tuple):
ambient_coords = tuple(ambient_coords)
nca = len(ambient_coords)
if nca != 2 and nca !=3:
raise ValueError("the number of ambient coordinates must be " +
"either 2 or 3, not {}".format(nca))
if ranges is None:
ranges = {}
ranges0 = {}
for coord in coords:
if coord in ranges:
ranges0[coord] = (numerical_approx(ranges[coord][0]),
numerical_approx(ranges[coord][1]))
else:
bounds = chart_domain._bounds[coords_full.index(coord)]
xmin0 = bounds[0][0]
xmax0 = bounds[1][0]
if xmin0 == -Infinity:
xmin = numerical_approx(-max_range)
elif bounds[0][1]:
xmin = numerical_approx(xmin0)
else:
xmin = numerical_approx(xmin0 + 1.e-3)
if xmax0 == Infinity:
xmax = numerical_approx(max_range)
elif bounds[1][1]:
xmax = numerical_approx(xmax0)
else:
xmax = numerical_approx(xmax0 - 1.e-3)
ranges0[coord] = (xmin, xmax)
ranges = ranges0
if number_values is None:
if nca == 2: # 2D plot
number_values = 9
else: # 3D plot
number_values = 5
if not isinstance(number_values, dict):
number_values0 = {}
for coord in coords:
number_values0[coord] = number_values
number_values = number_values0
if steps is None:
steps = {}
for coord in coords:
if coord not in steps:
steps[coord] = (ranges[coord][1] - ranges[coord][0])/ \
(number_values[coord]-1)
else:
number_values[coord] = 1 + int(
(ranges[coord][1] - ranges[coord][0])/ steps[coord])
#
# 2/ Plots
# -----
dom = chart_domain.domain()
vector = self.restrict(dom)
if vector.parent().destination_map() is dom.identity_map():
if mapping is not None:
vector = mapping.pushforward(vector)
mapping = None
nc = len(coords_full)
ncp = len(coords)
xx = [0] * nc
if fixed_coords is not None:
if len(fixed_coords) != nc - ncp:
raise ValueError("bad number of fixed coordinates")
for fc, val in fixed_coords.items():
xx[coords_full.index(fc)] = val
ind_coord = []
for coord in coords:
ind_coord.append(coords_full.index(coord))
resu = Graphics()
ind = [0] * ncp
ind_max = [0] * ncp
ind_max[0] = number_values[coords[0]]
xmin = [ranges[cd][0] for cd in coords]
step_tab = [steps[cd] for cd in coords]
nproc = Parallelism().get('tensor')
if nproc != 1 and nca == 2:
# parallel plot construct : Only for 2D plot (at moment) !
# creation of the list of parameters
list_xx = []
while ind != ind_max:
for i in range(ncp):
xx[ind_coord[i]] = xmin[i] + ind[i]*step_tab[i]
if chart_domain.valid_coordinates(*xx, tolerance=1e-13,
parameters=parameters):
# needed a xx*1 to copy the list by value
list_xx.append(xx*1)
# Next index:
ret = 1
for pos in range(ncp-1,-1,-1):
imax = number_values[coords[pos]] - 1
if ind[pos] != imax:
ind[pos] += ret
ret = 0
elif ret == 1:
if pos == 0:
ind[pos] = imax + 1 # end point reached
else:
ind[pos] = 0
ret = 1
lol = lambda lst, sz: [lst[i:i+sz] for i in range(0, len(lst), sz)]
ind_step = max(1, int(len(list_xx)/nproc/2))
local_list = lol(list_xx,ind_step)
# definition of the list of input parameters
listParalInput = [(vector, dom, ind_part,
chart_domain, chart,
ambient_coords, mapping,
scale, color, parameters,
extra_options)
for ind_part in local_list]
# definition of the parallel function
@parallel(p_iter='multiprocessing', ncpus=nproc)
def add_point_plot(vector, dom, xx_list, chart_domain, chart,
ambient_coords, mapping, scale, color,
parameters, extra_options):
count = 0
for xx in xx_list:
point = dom(xx, chart=chart_domain)
part = vector.at(point).plot(chart=chart,
ambient_coords=ambient_coords,
mapping=mapping,scale=scale,
color=color, print_label=False,
parameters=parameters,
**extra_options)
if count == 0:
local_resu = part
else:
local_resu += part
count += 1
return local_resu
# parallel execution and reconstruction of the plot
for ii, val in add_point_plot(listParalInput):
resu += val
else:
# sequential plot
while ind != ind_max:
for i in range(ncp):
xx[ind_coord[i]] = xmin[i] + ind[i]*step_tab[i]
if chart_domain.valid_coordinates(*xx, tolerance=1e-13,
parameters=parameters):
point = dom(xx, chart=chart_domain)
resu += vector.at(point).plot(chart=chart,
ambient_coords=ambient_coords,
mapping=mapping, scale=scale,
color=color, print_label=False,
parameters=parameters,
**extra_options)
# Next index:
ret = 1
for pos in range(ncp-1, -1, -1):
imax = number_values[coords[pos]] - 1
if ind[pos] != imax:
ind[pos] += ret
ret = 0
elif ret == 1:
if pos == 0:
ind[pos] = imax + 1 # end point reached
else:
ind[pos] = 0
ret = 1
if label_axes:
if nca == 2: # 2D graphic
# We update the dictionary _extra_kwds (options to be passed
# to show()), instead of using the method
# Graphics.axes_labels() since the latter is not robust w.r.t.
# graph addition
resu._extra_kwds['axes_labels'] = [r'$'+latex(ac)+r'$'
for ac in ambient_coords]
else: # 3D graphic
labels = [str(ac) for ac in ambient_coords]
resu = set_axes_labels(resu, *labels)
return resu
def plot(self, color='sign'):
"""
Return a plot of ``self``.
INPUT:
- ``color`` -- can be any of the following:
* ``4`` - use 4 colors: black, red, blue, and green with each
corresponding to up, right, down, and left respectively
* ``2`` - use 2 colors: red for horizontal, blue for vertical arrows
* ``'sign'`` - use red for right and down arrows, blue for left
and up arrows
* a list of 4 colors for each direction
* a function which takes a direction and a boolean corresponding
to the sign
EXAMPLES::
sage: M = SixVertexModel(2, boundary_conditions='ice')
sage: print(M[0].plot().description())
Arrow from (-1.0,0.0) to (0.0,0.0)
Arrow from (-1.0,1.0) to (0.0,1.0)
Arrow from (0.0,0.0) to (0.0,-1.0)
Arrow from (0.0,0.0) to (1.0,0.0)
Arrow from (0.0,1.0) to (0.0,0.0)
Arrow from (0.0,1.0) to (0.0,2.0)
Arrow from (1.0,0.0) to (1.0,-1.0)
Arrow from (1.0,0.0) to (1.0,1.0)
Arrow from (1.0,1.0) to (0.0,1.0)
Arrow from (1.0,1.0) to (1.0,2.0)
Arrow from (2.0,0.0) to (1.0,0.0)
Arrow from (2.0,1.0) to (1.0,1.0)
"""
from sage.plot.graphics import Graphics
from sage.plot.circle import circle
from sage.plot.arrow import arrow
if color == 4:
color_list = ['black', 'red', 'blue', 'green']
cfunc = lambda d,pm: color_list[d]
elif color == 2:
cfunc = lambda d,pm: 'red' if d % 2 == 0 else 'blue'
elif color == 1 or color is None:
cfunc = lambda d,pm: 'black'
elif color == 'sign':
cfunc = lambda d,pm: 'red' if pm else 'blue' # RD are True
elif isinstance(color, (list, tuple)):
cfunc = lambda d,pm: color[d]
else:
cfunc = color
G = Graphics()
for j,row in enumerate(reversed(self)):
for i,entry in enumerate(row):
if entry == 0: # LR
G += arrow((i,j+1), (i,j), color=cfunc(2, True))
G += arrow((i,j), (i+1,j), color=cfunc(1, True))
if j == 0:
G += arrow((i,j-1), (i,j), color=cfunc(0, False))
if i == 0:
G += arrow((i,j), (i-1,j), color=cfunc(3, False))
elif entry == 1: # LU
G += arrow((i,j), (i,j+1), color=cfunc(0, False))
G += arrow((i+1,j), (i,j), color=cfunc(3, False))
if j == 0:
G += arrow((i,j-1), (i,j), color=cfunc(0, False))
if i == 0:
G += arrow((i,j), (i-1,j), color=cfunc(3, False))
elif entry == 2: # LD
G += arrow((i,j+1), (i,j), color=cfunc(2, True))
G += arrow((i+1,j), (i,j), color=cfunc(3, False))
if j == 0:
G += arrow((i,j), (i,j-1), color=cfunc(2, True))
if i == 0:
G += arrow((i,j), (i-1,j), color=cfunc(3, False))
elif entry == 3: # UD
G += arrow((i,j), (i,j+1), color=cfunc(0, False))
G += arrow((i+1,j), (i,j), color=cfunc(3, False))
if j == 0:
G += arrow((i,j), (i,j-1), color=cfunc(2, True))
if i == 0:
G += arrow((i-1,j), (i,j), color=cfunc(1, True))
elif entry == 4: # UR
G += arrow((i,j), (i,j+1), color=cfunc(0, False))
G += arrow((i,j), (i+1,j), color=cfunc(1, True))
if j == 0:
G += arrow((i,j-1), (i,j), color=cfunc(0, False))
if i == 0:
G += arrow((i-1,j), (i,j), color=cfunc(1, True))
elif entry == 5: # RD
G += arrow((i,j+1), (i,j), color=cfunc(2, True))
G += arrow((i,j), (i+1,j), color=cfunc(1, True))
if j == 0:
G += arrow((i,j), (i,j-1), color=cfunc(2, True))
if i == 0:
G += arrow((i-1,j), (i,j), color=cfunc(1, True))
G.axes(False)
return G
def plot(hyperplane_arrangement, **kwds):
r"""
Return a plot of the hyperplane arrangement.
If the arrangement is in 4 dimensions but inessential, a plot of
the essentialization is returned.
.. NOTE::
This function is available as the
:meth:`~sage.geometry.hyperplane_arrangement.arrangement.HyperplaneArrangementElement.plot`
method of hyperplane arrangements. You should not call this
function directly, only through the method.
INPUT:
- ``hyperplane_arrangement`` -- the hyperplane arrangement to plot
- ``**kwds`` -- plot options: see
:mod:`sage.geometry.hyperplane_arrangement.plot`.
OUTPUT:
A graphics object of the plot.
EXAMPLES::
sage: B = hyperplane_arrangements.semiorder(4)
sage: B.plot()
Displaying the essentialization.
Graphics3d Object
"""
N = len(hyperplane_arrangement)
dim = hyperplane_arrangement.dimension()
if hyperplane_arrangement.base_ring().characteristic() != 0:
raise NotImplementedError('must be a field of characteristic 0')
elif dim == 4:
if not hyperplane_arrangement.is_essential():
print('Displaying the essentialization.')
hyperplane_arrangement = hyperplane_arrangement.essentialization()
elif dim not in [1,2,3]: # revise to handle 4d
return # silently
# handle extra keywords
if 'hyperplane_colors' in kwds:
hyp_colors = kwds.pop('hyperplane_colors')
if not isinstance(hyp_colors, list): # we assume its a single color then
hyp_colors = [hyp_colors] * N
else:
HSV_tuples = [(i*1.0/N, 0.8, 0.9) for i in range(N)]
hyp_colors = [hsv_to_rgb(*x) for x in HSV_tuples]
if 'hyperplane_labels' in kwds:
hyp_labels = kwds.pop('hyperplane_labels')
has_hyp_label = True
if not isinstance(hyp_labels, list): # we assume its a boolean then
hyp_labels = [hyp_labels] * N
relabeled = []
for i in range(N):
if hyp_labels[i] in [True,'long']:
relabeled.append(True)
else:
relabeled.append(str(i))
hyp_labels = relabeled
else:
has_hyp_label = False
if 'label_colors' in kwds:
label_colors = kwds.pop('label_colors')
has_label_color = True
if not isinstance(label_colors, list): # we assume its a single color then
label_colors = [label_colors] * N
else:
has_label_color = False
if 'label_fontsize' in kwds:
label_fontsize = kwds.pop('label_fontsize')
has_label_fontsize = True
if not isinstance(label_fontsize, list): # we assume its a single size then
label_fontsize = [label_fontsize] * N
else:
has_label_fontsize = False
if 'label_offsets' in kwds:
has_offsets = True
offsets = kwds.pop('label_offsets')
else:
has_offsets = False # give default values below
hyperplane_legend = kwds.pop('hyperplane_legend', 'long' if dim < 3 else False)
if 'hyperplane_opacities' in kwds:
hyperplane_opacities = kwds.pop('hyperplane_opacities')
has_opacity = True
if not isinstance(hyperplane_opacities, list): # we assume a single number then
hyperplane_opacities = [hyperplane_opacities] * N
else:
has_opacity = False
point_sizes = kwds.pop('point_sizes', 50)
if not isinstance(point_sizes, list):
point_sizes = [point_sizes] * N
if 'ranges' in kwds:
ranges_set = True
ranges = kwds.pop('ranges')
if not type(ranges) in [list,tuple]: # ranges is a single number
ranges = [ranges] * N
# So ranges is some type of list.
elif dim == 2: # arrangement of lines in the plane
if not type(ranges[0]) in [list,tuple]: # a single interval
ranges = [ranges] * N
elif dim == 3: # arrangement of planes in 3-space
if not type(ranges[0][0]) in [list,tuple]:
ranges = [ranges] * N
elif dim not in [2,3]: # ranges is not an option unless dim is 2 or 3
ranges_set = False
else: # a list of intervals, one for each hyperplane is given
pass # ranges does not need to be modified
else:
ranges_set = False # give default values below
# the extra keywords have now been handled
# now handle the legend
if dim in [1,2]: # points on a line or lines in the plane
if hyperplane_legend in [True,'long']:
hyps = hyperplane_arrangement.hyperplanes()
legend_labels = [hyps[i]._latex_() for i in range(N)]
elif hyperplane_legend == 'short' :
legend_labels = [str(i) for i in range(N)]
else: # dim==3, arrangement of planes in 3-space
if hyperplane_legend in [True, 'long']:
legend3d = legend_3d(hyperplane_arrangement, hyp_colors, 'long')
elif hyperplane_legend == 'short':
legend3d = legend_3d(hyperplane_arrangement, hyp_colors, 'short')
## done handling the legend
## now create the plot
p = Graphics()
for i in range(N):
newk = copy(kwds)
if has_hyp_label:
newk['hyperplane_label'] = hyp_labels[i]
if has_offsets:
if not isinstance(offsets, list):
newk['label_offset'] = offsets
else:
newk['label_offset'] = offsets[i]
else:
newk['hyperplane_label'] = False
if has_label_color:
newk['label_color'] = label_colors[i]
if has_label_fontsize:
newk['label_fontsize'] = label_fontsize[i]
if has_opacity:
newk['opacity'] = hyperplane_opacities[i]
if dim == 1:
newk['point_size'] = point_sizes[i]
if dim in [1,2] and hyperplane_legend: # more options than T/F
newk['legend_label'] = legend_labels[i]
if ranges_set:
newk['ranges'] = ranges[i]
p += plot_hyperplane(hyperplane_arrangement[i], rgbcolor=hyp_colors[i], **newk)
if dim == 1:
if hyperplane_legend: # there are more options than T/F
p.legend(True)
return p
elif dim == 2:
if hyperplane_legend: # there are more options than T/F
p.legend(True)
return p
else: # dim==3
if hyperplane_legend: # there are more options than T/F
return p, legend3d
else:
return p